The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces

Article


Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2021. "The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces." PLoS One. 16 (6), pp. 1-28. https://doi.org/10.1371/journal.pone.0253772
Article Title

The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces

ERA Journal ID39745
Article CategoryArticle
AuthorsPrahl, Rosa E. (Author), Khan, Shahjahan (Author) and Deo, Ravinesh C. (Author)
Journal TitlePLoS One
Journal Citation16 (6), pp. 1-28
Article Numbere0253772
Number of Pages28
Year2021
PublisherPublic Library of Science (PLoS)
Place of PublicationUnited States
ISSN1932-6203
Digital Object Identifier (DOI)https://doi.org/10.1371/journal.pone.0253772
Web Address (URL)https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0253772
Abstract

Many fungi require specific growth conditions before they can be identified. Direct environmental DNA sequencing is advantageous, although for some taxa, specific primers need to be used for successful amplification of molecular markers. The internal transcribed spacer region is the preferred DNA barcode for fungi. However, inter- and intra-specific distances in ITS sequences highly vary among some fungal groups; consequently, it is not a solely reliable tool for species delineation. Ampelomyces, mycoparasites of the fungal phytopathogen order Erysiphales, can have ITS genetic differences up to 15%; this may lead to misidentification with other closely related unknown fungi. Indeed, Ampelomyces were initially misidentified as other pycnidial mycoparasites, but subsequent research showed that they differ in pycnidia morphology and culture characteristics. We investigated whether the ITS2 nucleotide content and secondary structure was different between Ampelomyces ITS2 sequences and those unrelated to this genus. To this end, we retrieved all ITS sequences referred to as Ampelomyces from the GenBank database. This analysis revealed that fungal ITS environmental DNA sequences are still being deposited in the database under the name Ampelomyces, but they do not belong to this genus. We also detected variations in the conserved hybridization model of the ITS2 proximal 5.8S and 28S stem from two Ampelomyces strains. Moreover, we suggested for the first time that pseudogenes form in the ITS region of this mycoparasite. A phylogenetic analysis based on ITS2 sequences-structures grouped the environmental sequences of putative Ampelomyces into a different clade from the Ampelomyces-containing clades. Indeed, when conducting ITS2 analysis, resolution of genetic distances between Ampelomyces and those putative Ampelomyces improved. Each clade represented a distinct consensus ITS2 S2, which suggested that different pre-ribosomal RNA (pre-rRNA) processes occur across different lineages. This study recommends the use of ITS2 S2s as an important tool to analyse environmental sequencing and unveiling the underlying evolutionary processes.

KeywordsAmpelomyces, Ampelomyces humuli, environmental DNA, phylogeny, ribosomal ITS2, secondary structures
ANZSRC Field of Research 2020310203. Computational ecology and phylogenetics
310409. Microbial taxonomy
310403. Biological adaptation
310401. Animal systematics and taxonomy
310410. Phylogeny and comparative analysis
310206. Sequence analysis
Public Notes

Copyright: © 2021 Prahl et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Byline AffiliationsSchool of Sciences
Institution of OriginUniversity of Southern Queensland
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Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136
Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System
Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534
Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects
Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2022. "An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis." Frontiers in Neuroinformatics. 15, pp. 1-15. https://doi.org/10.3389/fninf.2021.808339
Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061
Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals
Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Deo, Ravinesh C., Siuly, Siuly, Green, Jonathan H. and Oudah, Atheer Y.. 2022. "Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals." Measurement. 190 (110731), pp. 1-13. https://doi.org/10.1016/j.measurement.2022.110731
Results and Conclusions of “Five-Year Weight Loss Outcomes in Laparoscopic Vertical Sleeve Gastrectomy (LVSG) Versus Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) Procedures: A Systematic Review and Meta-analysis of Randomized Controlled Trials” Unchanged by Omission of Retracted Ruiz-Tovar et al Article
Osland, Emma J., Yunus, Rossita M., Khan, Shahjahan and Memon, Muhammed A.. 2022. "Results and Conclusions of “Five-Year Weight Loss Outcomes in Laparoscopic Vertical Sleeve Gastrectomy (LVSG) Versus Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) Procedures: A Systematic Review and Meta-analysis of Randomized Controlled Trials” Unchanged by Omission of Retracted Ruiz-Tovar et al Article." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 32 (1). https://doi.org/10.1097/SLE.0000000000001017
Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj and Tuteja, Narendra. 2022. "Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data." Science of the Total Environment. 809, pp. 1-15. https://doi.org/10.1016/j.scitotenv.2021.151139
Where Does the Time Go? Displacement of Device-Measured Sedentary Time in Effective Sedentary Behaviour Interventions: Systematic Review and Meta-Analysis
Segura-Jimenez, Victor, Biddle, Stuart J. H., De Cocker, Katrien, Khan, Shahjahan and Gavilan-Carrera, Blanca. 2022. "Where Does the Time Go? Displacement of Device-Measured Sedentary Time in Effective Sedentary Behaviour Interventions: Systematic Review and Meta-Analysis ." Sports Medicine. 52 (9), pp. 2177-2207. https://doi.org/10.1007/s40279-022-01682-3
Domino effect of climate change over two millennia in ancient China’s Hexi Corridor
Feng, Qi, Yan, Linshan, Deo, Ravinesh C., AghaKouchak, Amir, Adamowski, Jan F., Stone, Roger, Yin, Zhenliang, Liu, Wei, Si, Jianhua, Wen, Xiaohu, Zhu, Meng and Cao, Shixiong. 2019. "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor." Nature Sustainability. 2, pp. 957-961. https://doi.org/10.1038/s41893-019-0397-9
Bat algorithm for dam–reservoir operation
Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-Wing, Sarkamaryan, Saeed, Singh, Vijay P. and El-Shafie, Ahmed. 2018. "Bat algorithm for dam–reservoir operation." Environmental Earth Sciences. 77 (13), pp. 1-15. https://doi.org/10.1007/s12665-018-7662-5
Characteristics of ecosystem water use efficiency in a desert riparian forest
Ma, Xiaohong, Feng, Qi, Su, Yonghong, Yu, Tengfei and Deo, Ravinesh C.. 2018. "Characteristics of ecosystem water use efficiency in a desert riparian forest." Environmental Earth Sciences. 77 (358). https://doi.org/10.1007/s12665-018-7518-z
The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-z
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111
New double decomposition deep learning methods for river water level forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722
Bi-Directional Grid Constrained Stochastic Processes' Link to Multi-Skew Brownian Motion
Taranto, Aldo, Addie, Ron and Khan, Shahjahan. 2022. "Bi-Directional Grid Constrained Stochastic Processes' Link to Multi-Skew Brownian Motion." Journal of Applied Probability and Statistics. 17 (1), pp. 101-133.
Late (≥5 y) Complications of Laparoscopic Vertical Sleeve Gastrectomy (LVSG) and Laparoscopic Roux-en-Y Gastric Bypass (LRYGB): A Systematic Review and Meta-analysis of Randomized Controlled Trials
Osland, Emma J., Yunus, Rossita M., Khan Shahjahan and Memon, Muhammed A.. 2022. "Late (≥5 y) Complications of Laparoscopic Vertical Sleeve Gastrectomy (LVSG) and Laparoscopic Roux-en-Y Gastric Bypass (LRYGB): A Systematic Review and Meta-analysis of Randomized Controlled Trials ." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 32 (4), pp. 501-513. https://doi.org/10.1097/SLE.0000000000001065
Trend and projection of skilled birth attendants and institutional delivery coverage for adolescents in 54 low- and middle-income countries, 2000–2030
Rahman, Md. Mizanur, Taniguchi, Hiroko, Nsashiyi, Raïssa Shiyghan, Islam, Rashedul, Mahmud, Syed Riaz, Rahman, Shafiur, Jung, Jenny and Khan, Shahjahan. 2022. "Trend and projection of skilled birth attendants and institutional delivery coverage for adolescents in 54 low- and middle-income countries, 2000–2030 ." BMC Medicine. 20 (1), pp. 1-11. https://doi.org/10.1186/s12916-022-02255-x
Nuclear ribosomal DNA secondary structures and statistical approach for the phylogeny of Ampelomyces
Prahl, Rosa Esther. 2022. Nuclear ribosomal DNA secondary structures and statistical approach for the phylogeny of Ampelomyces. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q98
Statistics for evidence-based decisions - use, misuse and abuse
Khan, Shahjahan and Memon, M. Ashraf. 2017. "Statistics for evidence-based decisions - use, misuse and abuse." Hossain, Zakaria and Shiau, Jim (ed.) Third International Conference on Science, Engineering and Environment (SEE-2017). Springfield, Australia 13 - 16 Nov 2017 Tsu City, Mie, Japan.
Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine
Sharma, Neelesh and Deo, Ravinesh. 2021. "Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. Netherlands. Elsevier. pp. 437-484
Support vector machine model for multistep wind speed forecasting
Prasad, Shobna Mohini Mala, Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "Support vector machine model for multistep wind speed forecasting." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 335-389
Development of data-driven models for wind speed forecasting in Australia
Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190
Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)
Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034
Physical activity and sedentary behaviour in shift and non-shift workers: a systematic review and meta-analysis
Monnaatsie, Malebogo, Biddle, Stuart J. H., Khan, Shahjahan and Kolbe-Alexander, Tracy. 2021. "Physical activity and sedentary behaviour in shift and non-shift workers: a systematic review and meta-analysis." Preventive Medicine Reports. 24, pp. 1-11. https://doi.org/10.1016/j.pmedr.2021.101597
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992
Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Sankaran, Adarsh, Deo, Ravinesh C., Xiao, Fuyuan and Zhu, Shuyu. 2021. "Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia." Renewable Energy. 177, pp. 1033-1044. https://doi.org/10.1016/j.renene.2021.06.052
Systematic reviews: understanding the best evidence for clinical decision-making in health care: pros and cons
Memon, Muhammed A., Khan, Shahjahan, Alam, Khorshed, Rahman, Md Mizanur and Yunus, Rossita M.. 2021. "Systematic reviews: understanding the best evidence for clinical decision-making in health care: pros and cons." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 31 (2), pp. 234-240. https://doi.org/10.1097/SLE.0000000000000889
Iterated logarithm bounds of bi-directional grid constrained stochastic processes
Taranto, Aldo, Khan, Shahjahan and Addie, Ron. 2021. "Iterated logarithm bounds of bi-directional grid constrained stochastic processes." Global and Stochastic Analysis. 8 (3), pp. 19-39.
Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193
Hidden geometry of bidirectional grid-constrained stochastic processes
Taranto, Aldo and Khan, Shahjahan. 2021. "Hidden geometry of bidirectional grid-constrained stochastic processes." Journal of Probability and Statistics. 2021, pp. 1-13. https://doi.org/10.1155/2021/9944543
Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach
Pham, Yen Hoang, Reardon-Smith, Kathryn and Deo, Ravinesh C.. 2021. "Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach." Journal of Environmental Management. 292. https://doi.org/10.1016/j.jenvman.2021.112790
An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems
Yin, Xinwei, Feng, Qi, Li, Yan, Deo, Ravinesh C., Liu, Wei, Zhu, Meng, Zheng, Xinjun and Liu, Ran. 2022. "An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems." Science of the Total Environment. 806 (2), pp. 1-20. https://doi.org/10.1016/j.scitotenv.2021.150599
Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x
Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks
Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4
Prophylactic onlay mesh repair (POMR) versus primary suture repair (PSR) for prevention of incisional hernia (IH) after abdominal wall surgery: a systematic review and meta-analysis
Hassan, Maha Awaiz, Yunus, Rossita Mohamad, Khan, Shahjahan and Memon, Muhammed Ashraf. 2021. "Prophylactic onlay mesh repair (POMR) versus primary suture repair (PSR) for prevention of incisional hernia (IH) after abdominal wall surgery: a systematic review and meta-analysis." World Journal of Surgery. 45, pp. 3080 -3091. https://doi.org/10.1007/s00268-021-06238-6
Data revolution and statistics: reshaping society and science
Khan, Shahjahan and Memon, Muhammed Ashraf. 2021. "Data revolution and statistics: reshaping society and science." Hanif, Muhammad and Khan, Shahjahan (ed.) 18th International Conference on Statistical Sciences: Using Statistics for Sustainable Development Goals and Human Development. Lahore, Pakistan 18 - 20 Feb 2021 Lahore, Pakistan.
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3
A new framework for classification of multi-category hand grasps using EMG signals
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158
Application of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic Trading
Taranto, Aldo and Khan, Shahjahan. 2021. "Application of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic Trading." Journal of Mathematics and Statistics. 17 (1), pp. 22-29. https://doi.org/10.3844/jmssp.2021.22.29
Measuring association between two categorical variables: revisiting risk ratio and odds ratio
Khan, Shahjahan and Memon, Muhammad Ashraf. 2020. "Measuring association between two categorical variables: revisiting risk ratio and odds ratio." International Journal of Statistical Sciences. 20 (2), pp. 153-170.
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite
Yeom, Jong-Min, Jeong, Seungtaek, Deo, Ravinesh C. and Ko, Jonghan. 2021. "Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite." GIScience and Remote Sensing. https://doi.org/10.1080/15481603.2020.1853352
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436
Developing reservoir evaporation predictive model for successful dam management
Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6
Weight loss outcomes in laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a meta-analysis and systematic review of randomized controlled trials
Osland, Emma, Yunus, Rossita M., Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2017. "Weight loss outcomes in laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a meta-analysis and systematic review of randomized controlled trials." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 27 (1), pp. 8-18. https://doi.org/10.1097/SLE.0000000000000374
Diabetes improvement and resolution following laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a systematic review of randomized controlled trials
Osland, Emma, Yunus, Rossita Mohamad, Khan, Shahjahan, Memon, Breda and Memon, Muhammed Ashraf. 2017. "Diabetes improvement and resolution following laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a systematic review of randomized controlled trials." Surgical Endoscopy: surgical and interventional techniques. 31 (4), pp. 1952-1963. https://doi.org/10.1007/s00464-016-5202-5
Application of effective drought index for quantification of meteorological drought events: a case study in Australia
Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Begum, Khaleda. 2017. "Application of effective drought index for quantification of meteorological drought events: a case study in Australia." Theoretical and Applied Climatology. 128 (1-2), pp. 359-379. https://doi.org/10.1007/s00704-015-1706-5
Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam
Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Deo, Ravinesh C.. 2020. "Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam." Climate Risk Management. 30, pp. 1-17. https://doi.org/10.1016/j.crm.2020.100255
Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219
Meta-Analysis: Methods for Health and Experimental Studies
Khan, Shahjahan. Gail, Mitchell and Samet, Jonathan M. (ed.) 2020. Meta-Analysis: Methods for Health and Experimental Studies. Singapore. Springer.
Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathematical Finance & Algorithmic Trading
Taranto, Aldo and Khan, Shahjahan. 2020. "Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathematical Finance & Algorithmic Trading." Imomov, Azam, Purtukhia, Omar, Moiseeva, Svetlana and Tursunov, Bayramali (ed.) Modern Stochastic Models and Problems of Actuarial Mathematics Conference (MAMMOTH 2020). Karshi, Uzbekistan 25 Sep 2020 Karshi, Uzbekistan.
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805
Five-Year Weight Loss Outcomes in Laparoscopic Vertical Sleeve Gastrectomy (LVSG) Versus Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) Procedures: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Osland, Emma J., Yunus, Rossita M., Khan, Shahjahan and Memon, Muhammed A.. 2020. "Five-Year Weight Loss Outcomes in Laparoscopic Vertical Sleeve Gastrectomy (LVSG) Versus Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) Procedures: A Systematic Review and Meta-Analysis of Randomized Controlled Trials." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 30 (6), pp. 542-553. https://doi.org/10.1097/SLE.0000000000000834
Generalized Alpha Skew Normal Distribution
Alodat, Tareq, Khan, Shahjahan, Alodat, Moh'd T. and Memon, Muhammed A.. 2021. "Generalized Alpha Skew Normal Distribution." Statistica & Applicazioni. 2020 (2), pp. 1-15. https://doi.org/10.26350/999999_000028
Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression
Ali, Mumtaz and Deo, Ravinesh C.. 2020. "Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 37-87
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 391-436
Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm
Karalasingham, Sagthitharan, Deo, Ravinesh and Prasad, Ramendra. 2021. "Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 271-298
Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
Goundar, Harshna, Yaseen, Zaher Mundher and Deo, Ravinesh. 2021. "Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 191-232
Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition
Rezaie-Balf, Mohammad, Kim, Sungwon, Ghaemi, Alireza and Deo, Ravinesh. 2021. "Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 115-142
Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models
Liu, Wen, Feng, Qi, Deo, Ravinesh C., Yao, Lei and Wei, Wei. 2020. "Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models ." Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors. 66 (4), pp. 683-693. https://doi.org/10.1007/s00267-020-01339-9
Drawdown and Drawup of Bi-Directional Grid Constrained Stochastic Processes
Taranto, Aldo and Khan, Shahjahan. 2020. "Drawdown and Drawup of Bi-Directional Grid Constrained Stochastic Processes." Journal of Mathematics and Statistics. 16 (1), pp. 182-197. https://doi.org/10.3844/jmssp.2020.182.197
Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954
Bi-directional grid absorption barrier constrained stochastic processes with applications in finance and investment
Taranto, Aldo and Khan, Shahjahan. 2020. "Bi-directional grid absorption barrier constrained stochastic processes with applications in finance and investment." Risk Governance & Control: Financial Markets & Institutions. 10 (3), pp. 20-33. https://doi.org/10.22495/rgcv10i3p2
Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods
Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381
Artificial neural networks for prediction of Steadman Heat Index
Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357
Spatial prediction of landslide susceptibility using random forest algorithm
Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292
Intelligent data analytics for time series, trend analysis and drought indices comparison
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2021. "Intelligent data analytics for time series, trend analysis and drought indices comparison." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 151-169
Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere
Dayal, Kavina S., Wang, Bin and Deo, Ravinesh C.. 2021. "Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 127-150
Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction
Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47
Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation
Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.
Gambler’s ruin problem and bi-directional grid constrained trading and investment strategies
Taranto, Aldo and Khan, Shahjahan. 2020. "Gambler’s ruin problem and bi-directional grid constrained trading and investment strategies." Investment Management and Financial Innovations. 17 (3), pp. 54-66. https://doi.org/10.21511/imfi.17(3).2020.05
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003
Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307
Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676
Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region
Wu, Min, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yin, Zhenliang, Yang, Linshan and Sheng, Danrui. 2020. "Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region." Hydrology Research: an international journal. 51 (4), pp. 648-665. https://doi.org/10.2166/nh.2020.012
Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors
Liu, Wen, Feng, Qi, Chen, Weiping and Deo, Ravinesh C.. 2020. "Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors." Environmental Science and Pollution Research. 27 (24), pp. 30831-30843. https://doi.org/10.1007/s11356-020-09220-2
Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea
Yeom, Jong-Min, Deo, Ravinesh C., Adamowski, Jan F., Park, Seonyoung and Lee, Chang-Suk. 2020. "Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea." Environmental Research Letters. 15 (9), pp. 1-10. https://doi.org/10.1088/1748-9326/ab9467
Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
Salih, Sinan Q., Sharafati, Ahmad, Ebtehaj, Isa, Sanikhani, Hadi, Siddique, Ridwan, Deo, Ravinesh C., Bonakdari, Hossein, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2020. "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments." Hydrological Sciences Journal. 65 (7), pp. 1145-1157. https://doi.org/10.1080/02626667.2020.1734813
Hybridized neural fuzzy ensembles for dust source modeling and prediction
Rahmati, Omid, Panahi, Mahdi, Ghiasi, Seid Saeid, Deo, Ravinesh C., Tiefenbacher, John P., Pradhan, Biswajeet, Jahani, Ali, Goshtasb, Hamid, Kornejady, Aiding, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Hassan, Moghaddam, Davoud Davoudi, Mohtashamian, Maryamsadat and Bui, Dieu Tien. 2020. "Hybridized neural fuzzy ensembles for dust source modeling and prediction." Atmospheric Environment. 224, pp. 1-11. https://doi.org/10.1016/j.atmosenv.2020.117320
Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model
Tao, Hai, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model." IEEE Access. 8, pp. 12026-12042. https://doi.org/10.1109/ACCESS.2020.2965303
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kim, Sungwon, Kashani, Mahasa Hasanpour, Karimi, Vahid and Izadkhah, Maryam. 2020. "Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia." Soft Computing. 24, pp. 12079-12090. https://doi.org/10.1007/s00500-019-04648-2
Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China
Yang, Linshan, Feng, Qi, Adamowski, Jan F., Deo, Ravinesh C., Yin, Zhenlaing, Wen, Xiaohu, Tang, Xia and Wu, Min. 2020. "Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China." Science of the Total Environment. 713, pp. 1-11. https://doi.org/10.1016/j.scitotenv.2020.136587
Mixing characteristics of a film-exciting flapping jet
Wu, M., Xu, M., Mi, J. and Deo, R. C.. 2020. "Mixing characteristics of a film-exciting flapping jet." International Journal of Heat and Fluid Flow. 82, pp. 1-9. https://doi.org/10.1016/j.ijheatfluidflow.2019.108532
Enhanced deep learning algorithm development to detect pain intensity from facial expression images
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305
A general extensible learning approach for multi-disease recommendations in a telehealth environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006
A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2020. "A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms." Science of the Total Environment. 709, pp. 1-23. https://doi.org/10.1016/j.scitotenv.2019.135934
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir and Bui, Dieu Tien. 2020. "Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia." Science of the Total Environment. 699 (134230). https://doi.org/10.1016/j.scitotenv.2019.134230
Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models
Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Adamowski, Jan F., Wen, Xiaohu, Jia, Bing and Si, Jianhua. 2020. "Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models." International Journal of Climatology. 40 (8), pp. 3922-3941. https://doi.org/10.1002/joc.6435
Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables
Yeom, Jong-Min, Deo, Ravinesh, Adamowski, Jan F., Chae, Taebyeong, Kim, Dong-Su, Han, Kyung-Soo and Kim, Do-Yong. 2020. "Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables." Renewable and Sustainable Energy Reviews. 119, pp. 1-14. https://doi.org/10.1016/j.rser.2019.109570
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
Rahmati, Omid, Panahi, Mahdi, Kalantari, Zahra, Soltani, Elinaz, Falah, Fatemeh, Dayal, Kavina S., Mohammadi, Farnoush, Deo, Ravinesh C., Tiefenbacher, John and Bui, Dieu Tien. 2020. "Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia." Science of the Total Environment. 718, pp. 1-17. https://doi.org/10.1016/j.scitotenv.2019.134656
Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Liu, Wen. 2020. "Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China." Catena. 187. https://doi.org/10.1016/j.catena.2019.104345
Meta-analysis: a critical appraisal of the methodology, benefits and drawbacks
Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2019. "Meta-analysis: a critical appraisal of the methodology, benefits and drawbacks." British Journal of Hospital Medicine. 80 (11), pp. 636-641. https://doi.org/10.12968/hmed.2019.80.11.636
The power of the tests on the multiple regression model
Pratikno, Budi and Khan, Shahjahan. 2020. "The power of the tests on the multiple regression model." International Journal of Advanced Science and Technology. 29 (6), pp. 3274-3279.
Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses
Deo, Ravinesh C., Yaseen, Zaher Mundher, Al-Ansari, Nadhir, Nguyen-Huy, Thong, Langlands, Trevor and Galligan, Linda. 2020. "Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses." IEEE Access. 8, pp. 136697-136724. https://doi.org/10.1109/ACCESS.2020.3010938
Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model
Ciupak, Maurycy, Ozga-Zielinski, Bogdan, Adamowski, Jan, Deo, Ravinesh C and Kochanek, Krzysztof. 2019. "Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model." Water: an open access journal. 11 (10), pp. 1-31. https://doi.org/10.3390/w11102138
Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins
Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C.. 2019. "Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins." Journal of Hydrology. 579, pp. 1-11. https://doi.org/10.1016/j.jhydrol.2019.124212
Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz and Khan, Shahjahan. 2020. "Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 203-227
Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2020. "Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 89-105
Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2020. "Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 141-178
Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls
Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi and Yang, Linshan. 2019. "Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (10), pp. 3427-3441. https://doi.org/10.1007/s11368-019-02295-6
Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains
Qin, Yanyan, Adamowski, Jan F., Deo, Ravinesh C., Hu, Zeyong, Cao, Jianjun, Zhu, Meng and Feng, Qi. 2019. "Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains." Ecosphere. 10 (9), pp. 1-13. https://doi.org/10.1002/ecs2.2851
Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors
Cao, Jianjun, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Gong, Yifan and Feng, Qi. 2019. "Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors." Rangeland Ecology and Management. 72 (6), pp. 988-995. https://doi.org/10.1016/j.rama.2019.06.001
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals
Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611
The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs
Liu, Wen, Wei, Wei, Chen, Weiping, Deo, Ravinesh C., Si, Jianhua, Xi, Haiyang, Li, Baofeng and Feng, Qi. 2019. "The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs." Journal of Hydrology. 576, pp. 575-582. https://doi.org/10.1016/j.jhydrol.2019.06.061
Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Deo, Ravinesh C., Si, Jianhua and Li, Changbin. 2019. "Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China." Theoretical and Applied Climatology. 137 (1-2), pp. 323-339. https://doi.org/10.1007/s00704-018-2598-y
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293
Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme
Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365
Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models
Kisi, Ozgur, Choubin, Bahram, Deo, Ravinesh C. and Yaseen, Zaheer Mundher. 2019. "Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models." Hydrological Sciences Journal. 64 (10), pp. 1240-1252. https://doi.org/10.1080/02626667.2019.1632460
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J.. 2019. "Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms." Journal of Hydrology. 576, pp. 164-184. https://doi.org/10.1016/j.jhydrol.2019.06.032
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407
Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect
Liu, Wen, Chen, Weiping, Feng, Qi and Deo, Ravinesh C.. 2019. "Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect." Water Science and Technology: Water Supply. 19 (1), pp. 115-127. https://doi.org/10.2166/ws.2018.057
Suture cruroplasty versus mesh hiatal herniorrhaphy for large hiatal hernias (HHs): an updated meta-analysis and systematic review of randomized controlled trials
Memon, Muhammed A., Siddaiah-Subramanya, Manjunath, Yunus, Rossita M., Memon, Breda and Khan, Shahjahan. 2019. "Suture cruroplasty versus mesh hiatal herniorrhaphy for large hiatal hernias (HHs): an updated meta-analysis and systematic review of randomized controlled trials." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 29 (4), pp. 221-232. https://doi.org/10.1097/SLE.0000000000000655
Tests on a subset of regression parameters for factorial experimental data with uncertain higher order interactions
Khan, Shahjahan, Pratikno, Budi, Rahman, Shafiqur and Hossain, M. Zakir. 2019. "Tests on a subset of regression parameters for factorial experimental data with uncertain higher order interactions." Journal of Statistical Theory and Applications. 18 (2), pp. 103-112. https://doi.org/10.2991/jsta.d.190514.001
Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau
Cao, Jianjun, Li, Guangdong, Adamowski, Jan F., Holden, Nicolas M., Deo, Ravinesh C., Hu, Zeyong, Zhu, Guofeng, Xu, Xueyun and Feng, Qi. 2019. "Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 86, pp. 261-267. https://doi.org/10.1016/j.landusepol.2019.05.008
Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water
Kodur, Shreevatsa, Shrestha, Uttam Babu, Maraseni, Tek Narayan and Deo, Ravinesh C.. 2019. "Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water." Journal of Cleaner Production. 222, pp. 960-970. https://doi.org/10.1016/j.jclepro.2019.03.079
Land subsidence modelling using tree-based machine learning algorithms
Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerda, Artemi, Mohammadi, Farnoush and Bui, Dieu Tien. 2019. "Land subsidence modelling using tree-based machine learning algorithms." Science of the Total Environment. 672, pp. 239-252. https://doi.org/10.1016/j.scitotenv.2019.03.496
Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012
Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2019. "Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies." Stochastic Environmental Research and Risk Assessment. 33 (3), pp. 779-799. https://doi.org/10.1007/s00477-019-01662-6
Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China
Cao, Jianjun, Gong, Yifan, Adamowski, Jan F., Deo, Ravinesh C., Zhu, Guofeng, Dong, Xiaogang, Zhang, Xiaofang, Liu, Haibo and Xin, Cunlin. 2019. "Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China." Scientific Reports. 9 (1), pp. 1-11. https://doi.org/10.1038/s41598-019-39626-z
The role of topography in shaping the spatial patterns of soil organic carbon
Zhu, Meng, Feng, Qi, Qin, Yanyan, Cao, Jiajun, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi, Li, Ruolin and Li, Baofeng. 2019. "The role of topography in shaping the spatial patterns of soil organic carbon." Catena. 176, pp. 296-305. https://doi.org/10.1016/j.catena.2019.01.029
PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017
Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach
Deo, Ravinesh C., Sahin, Mehmet, Adamowski, Jan F. and Mi, Jianchun. 2019. "Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach." Renewable and Sustainable Energy Reviews. 104, pp. 235-261. https://doi.org/10.1016/j.rser.2019.01.009
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060
Anterior Dor or posterior Toupet with Heller Myotomy for Achalasia Cardia: a systematic review and meta-analysis
Siddaiah-Subramanya, Manjunath, Yunus, Rossita Mohamad, Khan, Shahjahan, Memon, Breda and Memon, Muhammed Ashraf. 2019. "Anterior Dor or posterior Toupet with Heller Myotomy for Achalasia Cardia: a systematic review and meta-analysis." World Journal of Surgery. 43 (6), pp. 1563-1570. https://doi.org/10.1007/s00268-019-04945-9
New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm
Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0
Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches
Maroufpoor, Saman, Sanikhani, Hadi, Kisi, Ozgur, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2019. "Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches." International Journal of Climatology. 39 (8), pp. 3543-3557. https://doi.org/10.1002/joc.6037
Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system
Roshni, Thendiyath, Jha, Madan K., Deo, Ravinesh C. and Vandana, A.. 2019. "Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system." Water Resources Management. 33 (7), pp. 2381-2397. https://doi.org/10.1007/s11269-019-02253-4
An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069
The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments
Liu, Wen, Feng, Qi, Chen, Weiping, Wei, Wei and Deo, Ravinesh C.. 2019. "The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments." Journal of Hydrology. 569, pp. 230-238. https://doi.org/10.1016/j.jhydrol.2018.11.066
Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes
Chen, Lijuan, Li, Changsheng, Feng, Qi, Wei, Yongping, Zhao, Yan, Zhu, Meng and Deo, Ravinesh C.. 2019. "Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes." Catena. 172, pp. 581-589. https://doi.org/10.1016/j.catena.2018.09.030
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158
Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China
Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Xiao, Shengchun. 2017. "Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China." Water: an open access journal. 9 (11), pp. 880-902. https://doi.org/10.3390/w9110880
The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China
Yin, Zhenliang, Feng, Qi, Liu, Shiyin, Zhou, Songbing, Li, Jing, Yang, Linshan and Deo, Ravinesh C.. 2017. "The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China." Water: an open access journal. 9 (3), pp. 159-178. https://doi.org/10.3390/w9030159
Meta-analysis of histopathological outcomes of laparoscopic assisted rectal resection (LARR) vs open rectal resection (ORR) for carcinoma
Memon, Muhammed Ashraf, Awais, Aiaman, Yunus, Rossita Mohamad, Memon, Breda and Khan, Shahjahan. 2018. "Meta-analysis of histopathological outcomes of laparoscopic assisted rectal resection (LARR) vs open rectal resection (ORR) for carcinoma." The American Journal of Surgery. 216 (5), pp. 1004-1015. https://doi.org/10.1016/j.amjsurg.2018.06.012
A meta-analysis and systematic review of perioperative outcomes of laparoscopic-assisted rectal resection (LARR) versus open rectal resection (ORR) for carcinoma
Memon, Muhammed A., Yunus, Rossita M., Memon, Breda, Awais, Aiman and Khan, Shahjahan. 2018. "A meta-analysis and systematic review of perioperative outcomes of laparoscopic-assisted rectal resection (LARR) versus open rectal resection (ORR) for carcinoma." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 28 (6), pp. 337-348. https://doi.org/10.1097/SLE.0000000000000589
Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001
Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China
Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Qin, Yanyan, Deo, Ravinesh C. and Zhang, Chengqi. 2019. "Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (4), pp. 1640-1650. https://doi.org/10.1007/s11368-018-2203-0
From the desk of the chief editor
Khan, Shahjahan. 2019. "From the desk of the chief editor." Journal of Applied Probability and Statistics. 14 (3), p. 1.
A joint deep neural network model for pain recognition from face
Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh, Whittaker, Frank and Wang, Hua. 2019. "A joint deep neural network model for pain recognition from face." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. pp. 52-56 https://doi.org/10.1109/CCOMS.2019.8821779
Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China
Zhang, Xiaofang, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Zhu, Guofeng and Cao, Jianjun. 2018. "Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China." Water: an open access journal. 10 (12), pp. 1-15. https://doi.org/10.3390/w10121710
Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China
Zhao, Yu, Feng, Qi, Lu, Aigang and Deo, Ravinesh C.. 2019. "Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China." Chemistry and Ecology. 35 (4), pp. 330-343. https://doi.org/10.1080/02757540.2018.1554060
Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Kashani, Mahsa H. and Ghorbani, Shahryar. 2018. "Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting." Stochastic Environmental Research and Risk Assessment. 33 (1), pp. 125-147. https://doi.org/10.1007/s00477-018-1630-1
Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model
Yeom, Jong-min, Jeong, Seungtaek, Jeong, Gwanyong, Ng, Chi Tim, Deo, Ravinesh C. and Ko, Jonghan. 2018. "Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model." Scientific Reports. 8, pp. 1-15. https://doi.org/10.1038/s41598-018-34550-0
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties
Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz and Nguyen, Van Phuong. 2018. "Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties." Computers and Electronics in Agriculture. 155, pp. 324-338. https://doi.org/10.1016/j.compag.2018.10.014
Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kashani, Mahsa H., Shahabi, Mahmoud and Ghorbani, Shahryar. 2019. "Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity." Soil and Tillage Research. 186, pp. 152-164. https://doi.org/10.1016/j.still.2018.09.012
Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation
Deo, Ravinesh C., Adamowski, Jan F., Begum, Khaleda, Salcedo-sanz, Sancho, Kim, Do-Woo, Dayal, Kavina S. and Byun, Hi-Ryong. 2019. "Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation." Theoretical and Applied Climatology. 137, pp. 1201-1215. https://doi.org/10.1007/s00704-018-2657-4
Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach
Yaseen, Zaheer Munder, Tran, Minh Tung, Kim, Sungwon, Bakhshpoori, Taha and Deo, Ravinesh C.. 2018. "Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach." Engineering Structures. 177, pp. 244-255. https://doi.org/10.1016/j.engstruct.2018.09.074
Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation
Deo, Ravinesh C., Downs, Nathan J., Adamowski, Jan F. and Parisi, Alfio V.. 2018. "Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation." Food and Energy Security. 8 (1). https://doi.org/10.1002/fes3.151
Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002
Weekly heat wave death prediction model using zero-inflated regression approach
Kim, Do-Woo, Deo, Ravinesh C., Park, Sang-Jin, Lee, Jong-Seol and Lee, Woo-Seop. 2019. "Weekly heat wave death prediction model using zero-inflated regression approach." Theoretical and Applied Climatology. 137 (1-2), pp. 823-838. https://doi.org/10.1007/s00704-018-2636-9
A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia
Nyamtseren, Mandakh, Feng, Qi and Deo, Ravinesh C.. 2018. "A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia." International Journal of Environmental Research. 12, pp. 887-899. https://doi.org/10.1007/s41742-018-0143-6
Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?
Cao, J. J., Holden, N. M., Adamowski, J. F., Deo, R. C., Xu, X. Y. and Feng, Q.. 2018. "Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?" Environmental Science and Policy. 89, pp. 192-197. https://doi.org/10.1016/j.envsci.2018.08.003
Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2018. "Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management." Weather and Climate Extremes. 21, pp. 76-89. https://doi.org/10.1016/j.wace.2018.07.002
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2
Mapping hypothermia death vulnerability in Korea
Park, Sang-Jin, Kim, Do-Woo, Deo, Ravinesh C. and Lee, Jong-Seol. 2018. "Mapping hypothermia death vulnerability in Korea." International Journal of Disaster Risk Reduction. 31, pp. 668-678. https://doi.org/10.1016/j.ijdrr.2018.06.016
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013
A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea
Deo, Ravinesh C., Byun, Hi-Ryong, Kim, Ga-Byn and Adamowski, Jan F.. 2018. "A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea." Environmental Monitoring and Assessment. 190 (450). https://doi.org/10.1007/s10661-018-6806-0
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005
Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions
Cao, Jianjun, Zhang, Xiaofang, Deo, Ravinesh, Gong, Yifan and Feng, Qi. 2018. "Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions." Land Use Policy: the international journal covering all aspects of land use. 78, pp. 258-265. https://doi.org/10.1016/j.landusepol.2018.07.002
Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters
Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221
Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359
Hybrid data intelligent models and applications for water level prediction
Yaseen, Zaher Mundher, Deo, Ravinesh C., Ebtehaj, Isa and Bonakdari, Hossein. 2018. "Hybrid data intelligent models and applications for water level prediction." Kim, Dookie, Roy, Sanjiban Sekhar, Länsivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 121-139
Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models
McCarthy, Elizabeth, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 446-464
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors
Sanikhani, Hadi, Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Mert, Chian, Mirabbasi, Rasoul, Gavili, Siavash and Yaseen, Zaher Mundher. 2018. "Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors." Computers and Electronics in Agriculture. 152, pp. 242-260. https://doi.org/10.1016/j.compag.2018.07.008
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035
Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, An-Vo, Duc-Anh and Khan, Shahjahan. 2018. "Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach." European Journal of Agronomy. 98, pp. 65-81. https://doi.org/10.1016/j.eja.2018.05.006
Non-tuned data intelligent model for soil temperature estimation: a new approach
Sanikhani, Hadi, Deo, Ravinesh C., Yaseen, Zaher Mundheer, Eray, Okan and Kisi, Ozgur. 2018. "Non-tuned data intelligent model for soil temperature estimation: a new approach." Geoderma. 330, pp. 52-64. https://doi.org/10.1016/j.geoderma.2018.05.030
Logistic regression for circular data
Al-Daffaie, Kadhem and Khan, Shahjahan. 2017. "Logistic regression for circular data." Bakar, Shaiful Anuar Abu, Yunus, Rossita Mohamad and Mohamed, Ibrahim (ed.) 3rd ISM International Statistical Conference 2016 (ISM III): Bringing Professionalism and Prestige in Statistics. Kuala Lumpur, Malaysia 09 - 11 Aug 2016 United States. https://doi.org/10.1063/1.4982860
Estimation of slope for measurement error model with equation error: applications on serum kanamycin data
Saqr, Anwar and Khan, Shahjahan. 2017. "Estimation of slope for measurement error model with equation error: applications on serum kanamycin data." Bakar, Shaiful Anuar Abu, Yunus, Rossita Mohamad and Mohamed, Ibrahim (ed.) 3rd ISM International Statistical Conference 2016 (ISM III): Bringing Professionalism and Prestige in Statistics. Kuala Lumpur, Malaysia 09 - 11 Aug 2016 United States. https://doi.org/10.1063/1.4982859
Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models
Deo, Ravinesh C., Salcedo-sanz, Sancho, Carro-Calvo, Leopoldo and Saavedra-Moreno, Beatriz. 2018. "Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models." Samui, Pijush, Kim, Dookie and Ghosh, Chandan (ed.) Integrating disaster science and management. Amsterdam, Netherlands. Elsevier. pp. 151-174
Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003
An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396
Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021
Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau
Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F, Cerda, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong and Gong, Yifan. 2018. "Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 74, pp. 88-96. https://doi.org/10.1016/j.landusepol.2017.07.027
Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8
A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm
Rajaee, Taher, Ravansalar, Masoud, Adamowski, Jan F. and Deo, Ravinesh C.. 2018. "A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm." Water, Air and Soil Pollution: an international journal of environmental pollution. 229 (3). https://doi.org/10.1007/s11270-018-3715-3
Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions
Fallah, Seyedeh Narjes, Deo, Ravinesh Chand, Shojafar, Mohammad, Conti, Mauro and Shamshirband, Shahaboddin. 2018. "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions." Energies. 11 (3). https://doi.org/10.3390/en11030596
Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan and Adamowski, Jan F.. 2018. "Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting." Applied Energy. 217, pp. 422-439. https://doi.org/10.1016/j.apenergy.2018.02.140
Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons
Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5
Multi-household grazing management pattern maintains better soil fertility
Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian and Liu, Minxia. 2018. "Multi-household grazing management pattern maintains better soil fertility." Agronomy for Sustainable Development: sciences des productions vegetales et de l'environnement. 38 (1). https://doi.org/10.1007/s13593-017-0482-2
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2018. "Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 35 (C), pp. 1-16. https://doi.org/10.1016/j.aei.2017.11.002
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham and Tziritis, Evangelos. 2018. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." Science of the Total Environment. 621, pp. 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185
Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland." Journal of Hydrologic Engineering. 23 (1), p. 05017029. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001593
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Salcedo-sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gomez, Carlos and Ghimire, Sujan. 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia." Applied Energy. 209, pp. 79-94. https://doi.org/10.1016/j.apenergy.2017.10.076
Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
Deo, Ravinesh C., Ghorbani, Mohammad Ali, Samadianfard, Saeed, Maraseni, Tek, Bilgili, Mehmet and Biazar, Mustafa. 2018. "Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data." Renewable Energy. 116 (Part A), pp. 309-323. https://doi.org/10.1016/j.renene.2017.09.078
Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Si, Jianhua, Li, Changbin and Deo, Ravinesh C.. 2017. "Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China." Hydrological Processes. 31 (5), pp. 1100-1112. https://doi.org/10.1002/hyp.11098
Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
Allawi, Mohammed Falah, Jaafar, Othman, Hamzah, Firdaus Mohamad, Mohd, Nuruol Syuhadaa, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region." Theoretical and Applied Climatology. 134 (1-2), pp. 545-563. https://doi.org/10.1007/s00704-017-2292-5
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Yaseen, Zaher Mundher and Terz, Ozlem. 2018. "Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey." Stochastic Environmental Research and Risk Assessment. 32 (6), pp. 1683-1697. https://doi.org/10.1007/s00477-017-1474-0
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0
Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau
Cao, J., Gong, Y., Yeh, E. T., Holden, N. M., Adamowski, J. F., Deo, R. C., Liu, M., Zhou, J., Zhang, J., Zhang, S., Sheng, D., Yang, S., Xu, X., Li, M. and Feng, Q.. 2017. "Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau." Soil Use and Management. 33 (4), pp. 633-671. https://doi.org/10.1111/sum.12387
Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica
Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Yu, Teng Fei, Deo, Ravinesh C. and Luo, Huan. 2018. "Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica." Water Science and Technology: Water Supply. 18 (5), pp. 1747-1756. https://doi.org/10.2166/ws.2017.236
Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China
Huang, Shan, Feng, Qi, Lu, Zhixiang, Wen, Xiaohu and Deo, Ravinesh C.. 2017. "Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China." Sustainability. 9 (5), pp. 756-772. https://doi.org/10.3390/su9050756
Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City
Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506
Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)
Meshram, Sarita Gajbhiye, Singh, Sudhir Kumar, Meshram, Chandrashekhar, Deo, Ravinesh C. and Ambade, Balram. 2018. "Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)." Theoretical and Applied Climatology. 134, pp. 1231-1243. https://doi.org/10.1007/s00704-017-2335-y
An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production
Maraseni, Tek Narayan, Deo, Ravinesh C., Qu, Jiansheng, Gentle, Popular and Neupane, Prem Raj. 2018. "An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production." Journal of Cleaner Production. 172, pp. 2288-2300. https://doi.org/10.1016/j.jclepro.2017.11.182
Physiological response to salinity stress and tolerance mechanics of Populus euphratica
Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Deo, Ravinesh C., Yu, Teng Fei and Li, Pei Du. 2017. "Physiological response to salinity stress and tolerance mechanics of Populus euphratica." Environmental Monitoring and Assessment. 189 (11), pp. 533-543. https://doi.org/10.1007/s10661-017-6257-z
Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China
Ma, Xiaohong, Feng, Qi, Yu, Tengfei, Su, Yonghong and Deo, Ravinesh C.. 2017. "Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China." Forests. 8 (10), pp. 1-17. https://doi.org/10.3390/f8100379
Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China
Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
Yaseen, Zaher Mundher, Deo, Ravinesh C., Hilal, Ameer, Abd, Abbas M., Bueno, Laura Cornejo, Salcedo-sanz, Sancho and Nehdi, Moncef L.. 2018. "Predicting compressive strength of lightweight foamed concrete using extreme learning machine model." Advances in Engineering Software. 115, pp. 112-125. https://doi.org/10.1016/j.advengsoft.2017.09.004
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-Shafie, Ahmed and Singh, Vijay P.. 2017. "Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model." Journal of Hydrology. 554, pp. 263-276. https://doi.org/10.1016/j.jhydrol.2017.09.007
Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0
Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements
Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573
Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Li, Changbin. 2017. "Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau." Advances in Meteorology. 2017, pp. 1-15. https://doi.org/10.1155/2017/6310401
Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes
Wei, Liu, Feng, Qi and Deo, Ravinesh C.. 2018. "Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes." Theoretical and Applied Climatology. 133 (1-2), pp. 405-420. https://doi.org/10.1007/s00704-017-2194-6
Mapping heatwave vulnerability in Korea
Kim, Do-Woo, Deo, Ravinesh C., Lee, Jong-Seol and Yeom, Jong-Min. 2017. "Mapping heatwave vulnerability in Korea." Natural Hazards. 89 (1), pp. 35-55. https://doi.org/10.1007/s11069-017-2951-y
Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones
Nguyen-Huy, Thong, Deo, Ravinesh C., An-Vo, Duc-Anh, Mushtaq, Shahbaz and Khan, Shahjahan. 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones." Agricultural Water Management. 191, pp. 153-172. https://doi.org/10.1016/j.agwat.2017.06.010
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014
Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035
Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China
Zhao, Yu, Feng, Qi, Xi, Haiyang, Li, Huiya, Yang, Huaide and Deo, Ravinesh C.. 2017. "Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China." Chemistry and Ecology. 33 (3), pp. 181-195. https://doi.org/10.1080/02757540.2017.1287904
Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114
Computational intelligence approach for modeling hydrogen production: a review
Faizollahzadeh, Sina, Najafi, Bahman, Shamshirband, Shahaboddin, Bidgoli, Behrouz Minaei, Deo, Ravinesh Chand and Chau, Kwok-wing. 2018. "Computational intelligence approach for modeling hydrogen production: a review." Engineering Applications of Computational Fluid Mechanics. 12 (1), pp. 438-458. https://doi.org/10.1080/19942060.2018.1452296
Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Hobart, Tasmania, Australia. Modelling and Simulation Society of Australia and New Zealand .
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John and El-Shafie, Ahmed. 2016. "Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq." Journal of Hydrology. 542, pp. 603-614. https://doi.org/10.1016/j.jhydrol.2016.09.035
Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea
Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1
Teaching statistics to engineering students – an Australian experience of using educational technologies
Khan, Shahjahan, Khadem, Mohammad MR Khan and Piya, Sujan. 2017. "Teaching statistics to engineering students – an Australian experience of using educational technologies." SQU Journal for Science. 22 (2), pp. 120-126. https://doi.org/10.24200/squjs.vol22iss2pp120-126
Carbon dioxide vs air insufflation for elective colonoscopy: a meta-analysis and systematic review of randomized controlled trials
Memon, Muhammed A., Memon, Breda, Yunus, Rossita M. and Khan, Shahjahan. 2016. "Carbon dioxide vs air insufflation for elective colonoscopy: a meta-analysis and systematic review of randomized controlled trials." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 26 (2), pp. 102-116. https://doi.org/10.1097/SLE.0000000000000243
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2016. "An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland." Environmental Monitoring and Assessment. 188 (90). https://doi.org/10.1007/s10661-016-5094-9
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-z
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
Deo, Ravinesh C., Kisi, Ogzur and Singh, Vijay P.. 2017. "Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model." Atmospheric Research. 184, pp. 149-175. https://doi.org/10.1016/j.atmosres.2016.10.004
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130
New weighted geometric mean method to estimate the slope of measurement error model
Saqr, Anwar and Khan, Shahjahan. 2014. "New weighted geometric mean method to estimate the slope of measurement error model." Journal of Applied Statistical Science. 22 (3-4), pp. 261- 280.
Shrinkage estimation of elliptical regression model under balanced loss function
Arashi, M. and Khan, Shahjahan. 2012. "Shrinkage estimation of elliptical regression model under balanced loss function." Ahmad, Munir (ed.) 12th Islamic Countries Conference on Statistical Sciences . Doha, Qatar 19 - 22 Dec 2012 Lahore, Pakistan.
Linear model inference with non-sample prior information
Khan, Shahjahan, Pratikno, Budi and Yunus, Rossita M.. 2012. "Linear model inference with non-sample prior information." Ahmad, Munir (ed.) 12th Islamic Countries Conference on Statistical Sciences . Doha, Qatar 19 - 22 Dec 2012 Lahore, Pakistan.
Slope estimator for the linear error-in-variables model
Saqr, Anwar and Khan, Shahjahan. 2012. "Slope estimator for the linear error-in-variables model." Ahmad, Munir (ed.) 12th Islamic Countries Conference on Statistical Sciences . Doha, Qatar 19 - 22 Dec 2012 Lahore, Pakistan.
Weighted reduced major axis method for regression model
Saqr, Anwar and Khan, Shahjahan. 2012. "Weighted reduced major axis method for regression model." Ahmad, Munir (ed.) 12th Islamic Countries Conference on Statistical Sciences . Doha, Qatar 19 - 22 Dec 2012 Lahore, Pakistan.
Growth of statistics enhanced by computer and internet
Khan, Shahjahan. 2013. "Growth of statistics enhanced by computer and internet." Khadem, Mohammad (ed.) 1st International Conference on Information, Operations Management and Statistics (ICIOMS 2013). Kuala Lumpur, Malaysia 01 - 03 Sep 2013 Sydney, Australia.
Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588
Late postoperative complications in laparoscopic sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-y gastric bypass (LRYGB): meta-analysis and systematic review
Osland, Emma, Yunus, Rossita M., Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2016. "Late postoperative complications in laparoscopic sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-y gastric bypass (LRYGB): meta-analysis and systematic review." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 26 (3), pp. 193-201. https://doi.org/10.1097/SLE.0000000000000279
Postoperative early major and minor complications in laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a meta-analysis and systematic review
Osland, Emma, Yunus, Rossita Mohamad, Khan, Shahjahan, Alodat, Tareq, Memon, Breda and Memon, Muhammed Ashraf. 2016. "Postoperative early major and minor complications in laparoscopic vertical sleeve gastrectomy (LVSG) versus laparoscopic Roux-en-Y gastric bypass (LRYGB) procedures: a meta-analysis and systematic review." Obesity Surgery. 26 (10), pp. 2273- 2284. https://doi.org/10.1007/s11695-016-2101-8
Meta-analysis of early endoscopic retrograde cholangiopancreatography (ERCP) ± endoscopic sphincterotomy (ES) versus conservative management for gallstone pancreatitis (GSP)
Burstow, Matthew J., Yunus, Rossita M., Hossain, Md Belal, Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2015. "Meta-analysis of early endoscopic retrograde cholangiopancreatography (ERCP) ± endoscopic sphincterotomy (ES) versus conservative management for gallstone pancreatitis (GSP)." Surgical Laparoscopy, Endoscopy and Percutaneous Techniques. 25 (3), pp. 185-203. https://doi.org/10.1097/SLE.0000000000000142
Laparoscopic vs open repair for incisional hernia
Awaiz, Aiman, Rahman, Foyzur, Hossain, Md Belal, Yunus, Rossita Mohamad, Khan, Shahjahan, Memon, Breda and Memon, Muhammad Ashraf. 2014. "Laparoscopic vs open repair for incisional hernia." Ahmed, Munir (ed.) 13th Islamic Countries Conference on Statistical Sciences . Bogor, Indonesia 18 - 21 Dec 2014 Lahore, Pakistan.
Testing the equality of two intercept for the parallel regression model
Pratikno, Budi and Khan, Shahjahan. 2014. "Testing the equality of two intercept for the parallel regression model." Ahmed, Munir and Khan, Shahjahan (ed.) 13th Islamic Countries Conference on Statistical Sciences . Bogor, Indonesia 18 - 21 Dec 2014 Lahore, Pakistan.
Bayesian prediction of matrix elliptical multivariate models with conjugate prior
Arashi, Mohamed and Khan, Shahjahan. 2012. "Bayesian prediction of matrix elliptical multivariate models with conjugate prior." Ahmed, Munir (ed.) 11th Islamic Countries Conference on Statistical Sciences. Lahore, Pakistan 19 - 22 Dec 2011 Lahore, Pakistan.
Statistical meta-analysis for ordinal categorical data
Hossain, Md. Belal and Khan, Shahjahan. 2012. "Statistical meta-analysis for ordinal categorical data." Ahmed, Munir (ed.) 11th Islamic Countries Conference on Statistical Sciences. Lahore, Pakistan 19 - 22 Dec 2011 Lahore, Pakistan.
Instrumental variable estimator of the slope parameter when the explanatory variable is subject to measurement error
Saqr, Anwar and Khan, Shahjahan. 2012. "Instrumental variable estimator of the slope parameter when the explanatory variable is subject to measurement error." Ahmed, Munir (ed.) 11th Islamic Countries Conference on Statistical Sciences. Lahore, Pakistan 19 - 22 Dec 2011 Lahore, Pakistan.
Meta-analysis of laparoscopic posterior and anterior fundoplication for gastro-oesophageal reflux disease
Subramanya, Manjunath S., Hossain, Md. Belal, Khan, Shahjahan, Memon, Breda and Memon, Muhammed Ashraf. 2010. "Meta-analysis of laparoscopic posterior and anterior fundoplication for gastro-oesophageal reflux disease." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Performance of preliminary test estimator under linex loss function
Hoque, Zahirul, Khan, Shahjahan and Wesolowski, Jacek. 2009. "Performance of preliminary test estimator under linex loss function." Communications in Statistics: Theory and Methods. 38 (2), pp. 252-261. https://doi.org/10.1080/03610920802192471
James-Stein estimators for the mean vector of a multivariate normal population based on independent samples from two normal populations with common covariance structure
Khan, Shahjahan and Hoque, Zahirul. 2002. "James-Stein estimators for the mean vector of a multivariate normal population based on independent samples from two normal populations with common covariance structure." Pakistan Journal of Statistics. 18 (3), pp. 359-381.
Shrinkage pre-test estimator of the intercept parameter for a regression model with multivariate student-t errors
Khan, Shahjahan and Saleh, A. K. Md. Ehsanes. 1997. "Shrinkage pre-test estimator of the intercept parameter for a regression model with multivariate student-t errors." Biometrical Journal: journal of mathematical methods in biosciences. 39 (2), pp. 131-147. https://doi.org/10.1002/bimj.4710390202
Estimation of the slope parameter for linear regression model with uncertain prior information
Khan, Shahjahan, Hoque, Zahirul and Saleh, A. K. Md. Ehsanes. 2002. "Estimation of the slope parameter for linear regression model with uncertain prior information." Journal of Statistical Research. 36, pp. 55- 73.
On the comparison of the pre-test and shrinkage estimators for the univariate normal mean
Khan, Shahjahan and Saleh, A. K. Md. E.. 2001. "On the comparison of the pre-test and shrinkage estimators for the univariate normal mean." Statistical Papers. 42 (4), pp. 451-473.
Estimating moments of a selected Pareto population under asymmetric scale invariant loss function
Al-Mosawi, Riyadh Rustom and Khan, Shahjahan. 2018. "Estimating moments of a selected Pareto population under asymmetric scale invariant loss function." Statistical Papers. 57, pp. 183-198. https://doi.org/10.1007/s00362-016-0758-7
Changes in non-diabetic comorbid disease status following Laparoscopic Vertical Sleeve Gastrectomy (LVSG) versus Laparoscopic Roux-En-Y Gastric Bypass (LRYGB) procedures: a systematic review of randomized controlled trials
Osland, Emma, Yunus, Rossita Mohamad, Khan, Shahjahan, Memon, Muhammed Ashraf and Memon, Breda. 2017. "Changes in non-diabetic comorbid disease status following Laparoscopic Vertical Sleeve Gastrectomy (LVSG) versus Laparoscopic Roux-En-Y Gastric Bypass (LRYGB) procedures: a systematic review of randomized controlled trials." Obesity Surgery. 27 (5), pp. 1208-12221. https://doi.org/10.1007/s11695-016-2469-5
Statistics on spotlight: reflections on World Statistics Day
Khan, Shahjahan. 2016. "Statistics on spotlight: reflections on World Statistics Day." Journal of Islamic Countries Society of Statistical Sciences. 2 (2), pp. 175-184.
Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria
Mouatadid, Soukayna, Deo, Ravinesh C. and Adamowski, Jan F.. 2015. "Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 United States. https://doi.org/10.1109/ICMLA.2015.87
Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India
Shukla, Rituraj, Deo, Ravinesh and Khare, Deepak. 2015. "Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 USA. https://doi.org/10.1109/ICMLA.2015.75
Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4
Projection of heat wave mortality related to climate change in Korea
Kim, Do-Woo, Deo, Ravinesh C., Chung, Jea-Hak and Lee, Jong-Seol. 2016. "Projection of heat wave mortality related to climate change in Korea." Natural Hazards. 80 (1), pp. 623-637. https://doi.org/10.1007/s11069-015-1987-0
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-y
Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers
Mossad, Ruth and Deo, Ravinesh C.. 2015. "Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers." Solnordal, C. B., Liovic, P., Delaney, G. W., Cummins, S. J., Schwarz, M. P. and Witt, P. J. (ed.) 11th International Conference on CFD in the Minerals and Process Industries. Melbourne, Australia 07 - 09 Dec 2015 Melbourne, Australia.
The correlated bivariate noncentral F distribution and its application
Khan, Shahjahan, Pratikno, Budi, Ibrahim, Adriana I. N. and Yunus, Rossita M.. 2016. "The correlated bivariate noncentral F distribution and its application." Communications in Statistics: Simulation and Computation. 45 (10), pp. 3491-3507. https://doi.org/10.1080/03610918.2014.999085
Mathematical reflection approach to instrumental variable estimation method for simple regression model
Saqr, Anwar and Khan, Shahjahan. 2016. "Mathematical reflection approach to instrumental variable estimation method for simple regression model." Pakistan Journal of Statistics. 32 (1), pp. 37-48.
Evidence based decision and meta-analysis with applications in cancer research studies
Khan, Shahjahan, Doi, Suhail A. R. and Memon, M. Ashraf. 2016. "Evidence based decision and meta-analysis with applications in cancer research studies." Applied Mathematics and Information Sciences. 10 (3), pp. 1-8. https://doi.org/10.12785/amis/paper-SK_print
A direct analysis of flood interval probability using approximately 100-year stream flow datasets
Brodie, Ian M. and Khan, Shahjahan. 2016. "A direct analysis of flood interval probability using approximately 100-year stream flow datasets." Hydrological Sciences Journal. 61 (12), pp. 2213-2225. https://doi.org/10.1080/02626667.2015.1099790
Improving statistical inference with uncertain non-sample prior information
Khan, Shahjahan, Memon, Muhammed Ashraf, Pratikno, Budi and Yunus, Rossita M.. 2015. "Improving statistical inference with uncertain non-sample prior information." Journal of Islamic Countries Society of Statistical Sciences. 1 (1), pp. 1-11.
Testing equality of two intercepts for the parallel regression model with non-sample prior information
Pratikno, Budi and Khan, Shahjahan. 2017. "Testing equality of two intercepts for the parallel regression model with non-sample prior information." Communications in Statistics: Theory and Methods. 46 (6), pp. 3099-3110. https://doi.org/10.1080/03610926.2015.1054941
Reply to comment to Meta-analysis and systematic review of laparoscopic versus open mesh repair for elective incisional hernia. Jensen K, Jorgensen LN
Awaiz, A., Rahman, F., Hossain, M. B., Yunus, R. M., Khan, S., Memon, B. and Memon, M. A.. 2015. "Reply to comment to Meta-analysis and systematic review of laparoscopic versus open mesh repair for elective incisional hernia. Jensen K, Jorgensen LN." Hernia. 19 (6), pp. 1027-1029. https://doi.org/10.1007/s10029-015-1432-z
Meta-analysis and systematic review of laparoscopic versus open mesh repair for elective incisional hernia
Awaiz, A., Rahman, F., Hossain, M. B., Yunus, R. M., Khan, S., Memon, B. and Memon, M. A.. 2015. "Meta-analysis and systematic review of laparoscopic versus open mesh repair for elective incisional hernia." Hernia. 19 (3), pp. 449-463. https://doi.org/10.1007/s10029-015-1351-z
Suture cruroplasty versus prosthetic hiatal herniorrhaphy for large hiatal hernia: a meta-analysis and systematic review of randomized controlled trials
Memon, Muhammed Ashraf, Memon, Breda, Yunus, Rossita Mohamad and Khan, Shahjahan. 2016. "Suture cruroplasty versus prosthetic hiatal herniorrhaphy for large hiatal hernia: a meta-analysis and systematic review of randomized controlled trials." Annals of Surgery. 263 (2), pp. 258- 266. https://doi.org/10.1097/SLA.0000000000001267
Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model
Doi, Suhail A. R., Barendregt, Jan J., Khan, Shahjahan, Thalib, Lukman and Williams, Gail M.. 2015. "Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model." Contemporary Clinical Trials. 45 (A), pp. 123-129. https://doi.org/10.1016/j.cct.2015.05.010
Advances in the meta-analysis of heterogeneous clinical trials I: the inverse variance heterogeneity model
Doi, Suhail A. R., Barendregt, Jan J., Khan, Shahjahan, Thalib, Lukman and Williams, Gail M.. 2015. "Advances in the meta-analysis of heterogeneous clinical trials I: the inverse variance heterogeneity model." Contemporary Clinical Trials. 45 (A), pp. 130-138. https://doi.org/10.1016/j.cct.2015.05.009
Simulation comparison of the quality effects and random effects methods of metaanalysis
Doi, Suhail A. R., Barendregt, Jan J., Khan, Shahjahan, Thalib, Lukman and Williams, Gail M.. 2015. "Simulation comparison of the quality effects and random effects methods of metaanalysis." Epidemiology. 26 (4), pp. 42-44. https://doi.org/10.1097/EDE.0000000000000289
On the new concept of the available water climatology and its application
Byun, H. R., Kim, D. W., Choi, K. S., Deo, R. C., Lee, S. M., Park, C. K., Kwon, S. H., Kim, G. B. and Kwon, H. N.. 2014. "On the new concept of the available water climatology and its application." American Geophysical Union, Fall Meeting 2014. San Francisco, United States 15 - 19 Dec 2014 San Francisco, USA.
A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events
Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Kim, Do-Woo. 2015. "A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events." Water Resources Management. 29 (11), pp. 4075-4093. https://doi.org/10.1007/s11269-015-1046-3
Contribution of Muslims to the regional social harmony, interreligious dialogue and culture
Khan, Shahjahan. 2014. "Contribution of Muslims to the regional social harmony, interreligious dialogue and culture." Harmes, Marcus K. and Batorowicz, Krzysztof (ed.) Peace, Interreligious Dialogue and Culture Seminar 2014. Toowoomba, Australia 13 - 14 Feb 2014 Toowoomba, Australia.
Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia." Atmospheric Research. 161-162, pp. 65-81. https://doi.org/10.1016/j.atmosres.2015.03.018
Classical and Bayesian prediction for multivariate simple regression model
Khan, Shahjahan. 2014. "Classical and Bayesian prediction for multivariate simple regression model." Ahmed, Munir (ed.) 13th Islamic Countries Conference on Statistical Sciences . Bogor, Indonesia 18 - 21 Dec 2014 Lahore, Pakistan.
Score test in robust M-procedure
Khan, Shahjahan and Yunus, Rossita M.. 2014. "Score test in robust M-procedure." Journal of Applied Probability and Statistics. 9 (2), pp. 55-75.
Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation
Deo, R. C., Byun, H. R., Adamowski, J. F. and Kim, D. W.. 2014. "Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation." International Conference on Analysis and Management of Changing Risks for Natural Hazards (2014). Padua, Italy Padua, Italy.
Effect of timing of pharmaconutrition (immunonutrition) administration on outcomes of elective surgery for gastrointestinal malignancies: a systematic review and meta-analysis
Osland, Emma, Hossain, Md Belal, Khan, Shahjahan and Memon, Muhammed Ashraf. 2014. "Effect of timing of pharmaconutrition (immunonutrition) administration on outcomes of elective surgery for gastrointestinal malignancies: a systematic review and meta-analysis." Journal of Parenteral and Enteral Nutrition. 38 (1), pp. 53-69. https://doi.org/10.1177/0148607112474825
Laparoscopic anterior versus posterior fundoplication for gastro-esophageal reflux disease: a meta-analysis and systematic review
Memon, Muhammed Ashraf, Subramanya, Manjunath S., Hossain, Md Belal, Yunus, Rossita Mohamad, Khan, Shahjahan and Memon, Breda. 2015. "Laparoscopic anterior versus posterior fundoplication for gastro-esophageal reflux disease: a meta-analysis and systematic review." World Journal of Surgery. 39 (4), pp. 981-996. https://doi.org/10.1007/s00268-014-2889-0
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia." Atmospheric Research. 153, pp. 512-525. https://doi.org/10.1016/j.atmosres.2014.10.016
Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea
Park, Chang-Kyun, Byun, Hi-Ryong, Deo, Ravinesh and Lee, Bo-Ra. 2015. "Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea." Journal of Hydrology. 526, pp. 221-230. https://doi.org/10.1016/j.jhydrol.2014.10.043
Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet
Liu, Y., Zhang, J., Deo, R., Mi, J., Nathan, G. J. and Zhu, R.. 2014. "Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet." Experimental Thermal and Fluid Science. 58, pp. 139-144. https://doi.org/10.1016/j.expthermflusci.2014.06.021
Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle
Deo, Ravinesh C.. 2013. "Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1471-1480.
The role of nozzle-exit conditions on the flow field of a plane jet
Deo, Ravinesh C.. 2013. "The role of nozzle-exit conditions on the flow field of a plane jet." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1059-1069.
Statistics in planning and development
Khan, Shahjahan. 2013. "Statistics in planning and development." Pakistan Journal of Statistics. 29 (4), pp. 513-524.
Shrinkage estimation under multivariate elliptic models
Arashi, M., Khan, Shahjahan, Tabatabaey, S. M. M. and Soleimani, H.. 2013. "Shrinkage estimation under multivariate elliptic models." Communications in Statistics: Theory and Methods. 42 (11), pp. 2084-2103. https://doi.org/10.1080/03610926.2011.602492
Empirical link between economic growth, energy consumption and CO2 emission in Australia
Salahuddin, Mohammad and Khan, Shahjahan. 2013. "Empirical link between economic growth, energy consumption and CO2 emission in Australia." Journal of Developing Areas. 47 (2), pp. 81-92.
Reflection method of estimation for measurement error models
Saqr, Anwar and Khan, Shahjahan. 2012. "Reflection method of estimation for measurement error models." Journal of Applied Probability and Statistics. 7 (2), pp. 71-88.
Modelling impacts of vegetation cover change on regional climate
McAlpine, Clive A., Syktus, Jozef I., Deo, Ravinesh C., Lawrence, Peter J., McGowan, Hamish A., Watterson, Ian G. and Phinn, Stuart R.. 2009. Modelling impacts of vegetation cover change on regional climate. Canberra, Australia. Land and Water Australia.
Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers
Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2013. "Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers." Physics of Fluids. 25 (1), pp. 015115-1. https://doi.org/10.1063/1.4776782
Meta-analyses of lightweight versus conventional (heavy weight) mesh in inguinal hernia surgery
Memon, M. Ashraf, Khan, S. and Osland, E.. 2012. "Meta-analyses of lightweight versus conventional (heavy weight) mesh in inguinal hernia surgery." Hernia. 16 (5), pp. 497-502. https://doi.org/10.1007/s10029-012-0987-1
Testing of intercept when slope is under suspicion
Pratikno, Budi and Khan, Shahjahan. 2012. "Testing of intercept when slope is under suspicion." Ahmad, Munir (ed.) 11th Islamic Countries Conference on Statistical Sciences. Lahore, Pakistan 19 - 22 Dec 2011 Lahore, Pakistan.
Testing base load with non-sample prior information on process load
Khan, Shahjahan and Pratikno, Budi. 2013. "Testing base load with non-sample prior information on process load." Statistical Papers. 54 (3), pp. 605-617. https://doi.org/10.1007/s00362-012-0451-4
On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study
Deo, Ravinesh C.. 2011. "On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study." Meteorological Applications. 18 (2), pp. 171-180. https://doi.org/10.1002/met.216
Early versus traditional postoperative feeding in patients undergoing resectional gastrointestinal surgery: a meta-analysis
Osland, Emma, Yunus, Rossita Mohamad, Khan, Shahjahan and Memon, Muhammed Ashraf. 2011. "Early versus traditional postoperative feeding in patients undergoing resectional gastrointestinal surgery: a meta-analysis." Journal of Parenteral and Enteral Nutrition. 35 (4), pp. 473-487. https://doi.org/10.1177/0148607110385698
Meta-analysis of D1 versus D2 gastrectomy for gastric adenocarcinoma
Memon, Muhammed Ashraf, Subramanya, Manjunath S., Khan, Shahjahan, Hossain, Md. Belal, Osland, Emma and Memon, Breda. 2011. "Meta-analysis of D1 versus D2 gastrectomy for gastric adenocarcinoma." Annals of Surgery. 253 (5), pp. 900-911. https://doi.org/10.1097/SLA.0b013e318212bff6
The bivariate noncentral chi-square distribution – a compound distribution approach
Yunus, Rossita M. and Khan, Shahjahan. 2011. "The bivariate noncentral chi-square distribution – a compound distribution approach." Applied Mathematics and Computation. 217 (13), pp. 6237-6247. https://doi.org/10.1016/j.amc.2010.12.112
Dynamics of precipitation climatology of the Southwest Pacific Region
Deo, Ravinesh Chand. 2001. Dynamics of precipitation climatology of the Southwest Pacific Region. Masters Thesis Master of Science (Research). University of Canterbury, New Zealand.
Early enteral nutrition within 24 h of intestinal surgery versus later commencement of feeding: a systematic review and meta-analysis [Letter to the Editor]
Osland, Emma, Yunus, Rossita M., Khan, Shahjahan and Memon, Muhammed Ashraf. 2009. "Early enteral nutrition within 24 h of intestinal surgery versus later commencement of feeding: a systematic review and meta-analysis [Letter to the Editor]." Journal of Gastrointestinal Surgery. 13 (6), pp. 1163-1165. https://doi.org/10.1007/s11605-009-0846-2
Meta-analysis of laparoscopic and open distal gastrectomy for gastric carcinoma
Memon, Muhammed Ashraf, Khan, Shahjahan, Yunus, Rossita Mohamad, Barr, Richard and Memon, Breda. 2008. "Meta-analysis of laparoscopic and open distal gastrectomy for gastric carcinoma." Surgical Endoscopy: surgical and interventional techniques. 22 (8), pp. 1781-1789. https://doi.org/10.1007/s00464-008-9925-9
Estimation of univariate normal mean using p-value
Kabir, Md Enamul and Khan, Shahjahan. 2007. "Estimation of univariate normal mean using p-value." 9th Islamic Countries Conference on Statistical Sciences. Shah Alam, Malaysia 12 - 14 Dec 2007 Kuala Lumpur, Malaysia.
Test for intercept after pre-testing on slope - a robust method
Yunus, Rossita M. and Khan, Shahjahan. 2007. "Test for intercept after pre-testing on slope - a robust method." Ahmad, Munir, Mohamed, Ibrahim, Osman, Jamil and Ibrahim, Noor Akma (ed.) 9th Islamic Countries Conference on Statistical Sciences. Shah Alam, Malaysia 12 - 14 Dec 2007 Kuala Lumpur, Malaysia.
Observed data based estimator and both observed data and prior information based estimator under asymmetric losses
Hoque, Zahirul, Wesolowski, Jacek and Khan, Shahjahan. 2007. "Observed data based estimator and both observed data and prior information based estimator under asymmetric losses." American Journal of Mathematical and Management Sciences. 27 (1-2), pp. 93-110. https://doi.org/10.1080/01966324.2007.10737690
Prediction distribution of future regression and residual sum of squares matrices for multivariate simple regression model with correlated normal responses
Khan, Shahjahan. 2006. "Prediction distribution of future regression and residual sum of squares matrices for multivariate simple regression model with correlated normal responses." Journal of Applied Probability and Statistics. 1 (1), pp. 15-30.
Edgeworth size corrected W, LR and LM test in the formation of the preliminary test estimator
Khan, Shahjahan, Hoque, Zahirul and Billah, Baki. 2006. "Edgeworth size corrected W, LR and LM test in the formation of the preliminary test estimator." Journal of Statistical Research. 40 (2), pp. 55-64.
Optimal tolerance regions for some functions of multiple regression model with Student-t errors
Khan, Shahjahan. 2006. "Optimal tolerance regions for some functions of multiple regression model with Student-t errors." Journal of Statistics and Management Systems. 9 (3), pp. 699-715.
On the Size Corrected Tests in Improved Estimation
Hoque, Z., Billah, B. and Khan, S.. 2005. "On the Size Corrected Tests in Improved Estimation." Calcutta Statistical Association Bulletin. 57 (3-4), pp. 143-160. https://doi.org/10.1177/0008068320050301
Estimation of parameters of the simple multivariate linear model with student t-errors
Khan, Shahjahan. 2005. "Estimation of parameters of the simple multivariate linear model with student t-errors ." Journal of Statistical Research. 39 (2), pp. 79-94.
Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information
Khan, Shahjahan, Hoque, Zahirul and Saleh, A. K. Md. E.. 2005. "Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information." Statistical Papers. 46 (3), pp. 379-395. https://doi.org/10.1007/bf02762840
Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events
Deo, Ravinesh C.. 2004. "Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.
Designing an evaluation of a tertiary preparatory program within the university context
Deo, Ravinesh. 2011. "Designing an evaluation of a tertiary preparatory program within the university context." PAMA 2011: Global Educators for Contemporary Learning Communities. Toowoomba, Australia 30 May - 10 Jun 2011 Toowoomba, Australia.
Bridging the divide by screencasting in an introductory statistics class at an Australian university
Khan, Shahjahan, Loch, Birgit and McDonald, Christine. 2010. "Bridging the divide by screencasting in an introductory statistics class at an Australian university." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Modeling the impact of historical land cover change on Australia's regional climate
McAlpine, C. A., Syktus, J., Deo, R. C., Lawrence, P. J., McGowan, H. A., Watterson, I. G. and Phinn, Stuart. 2007. "Modeling the impact of historical land cover change on Australia's regional climate." Geophysical Research Letters. 34 (22), pp. L22711-1. https://doi.org/10.1029/2007GL031524
Meta-analysis of laparoscopic posterior and anterior fundoplication for gastro-oesophageal reflux disease
Subramanya, M. S., Hossain, M. B., Khan, S., Memon, B. and Memon, M. A.. 2010. "Meta-analysis of laparoscopic posterior and anterior fundoplication for gastro-oesophageal reflux disease." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558829
M-tests for multivariate regression model
Yunus, Rossita M. and Khan, Shahjahan. 2011. "M-tests for multivariate regression model." Journal of Nonparametric Statistics. 23 (1), pp. 201-218. https://doi.org/10.1080/10485252.2010.503896
Preliminary results of a meta-analysis evaluating the effect of immunonutrition on outcomes on outcomes of elective gastrointestinal surgery
Osland, Emma, Hossain, Md. Belal, Khan, Shahjahan and Memon, Muhammed A.. 2010. "Preliminary results of a meta-analysis evaluating the effect of immunonutrition on outcomes on outcomes of elective gastrointestinal surgery." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Benefits of early feeding versus traditional nil-by-mouth nutritional postoperative management in gastrointestinal resectional surgery patients: a meta-analysis
Osland, Emma, Yunus, Rossita Mohamad, Khan, Shahjahan and Memon, Muhammed A.. 2010. "Benefits of early feeding versus traditional nil-by-mouth nutritional postoperative management in gastrointestinal resectional surgery patients: a meta-analysis." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Preliminary results of meta-analysis of endoscopic retrograde cholangiopancreatography (ERCP) versus conservative treatment for gall stone pancreatitis
Burstow, Matthew J., Yunus, Rossita M., Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2010. "Preliminary results of meta-analysis of endoscopic retrograde cholangiopancreatography (ERCP) versus conservative treatment for gall stone pancreatitis." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Preliminary results of meta-analysis of laparoscopic and open inguinal hernia repair
Burstow, Matthew John, Yunus, Rossita Mohamad, Khan, Shahjahan, Memon, Breda and Memon, Muhammed Ashraf. 2010. "Preliminary results of meta-analysis of laparoscopic and open inguinal hernia repair." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
M-test of two parallel regression lines under uncertain prior information
Khan, Shahjahan and Yunus, Rossita M.. 2010. "M-test of two parallel regression lines under uncertain prior information." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Meta-analysis of D1 versus D2 gastrectomy for gastric adenocarcinoma
Subramanya, Manjunath S., Hossain, Md. Belal, Khan, Shahjahan, Memon, Breda and Memon, Muhammed A.. 2010. "Meta-analysis of D1 versus D2 gastrectomy for gastric adenocarcinoma." Amin, Zeinab and Hadi, Ali S. (ed.) 10th Islamic Countries Conference on Statistical Sciences. Cairo, Egypt 20 - 23 Dec 2009 Lahore, Pakistan.
Impacts of land use/land cover change on climate and future research priorities
Mahmood, Rezaul, Pielke, Roger A., Hubbard, Kenneth G., Niyogi, Dev, Bonan, Gordon, Lawrence, Peter, McNider, Richard, McAlpine, Clive, Etter, Andres, Gameda, Samuel, Qian, Budong, Carleton, Andrew, Beltran-Przekurat, Adriana, Chase, Thomas, Quintanar, Arturo I., Adegoke, Jimmy O., Vezhapparambu, Sajith, Conner, Glen, Asefi, Salvi, ..., Syktus, Jozef. 2010. "Impacts of land use/land cover change on climate and future research priorities." Bulletin of the American Meteorological Society. 91 (1), pp. 37-46. https://doi.org/10.1175/2009BAMS2769.1
On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area
Deo, Ravinesh C., Nathan, Graham Jerold and Mi, Jianchun. 2010. "On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area." Mallinson, G. D. and Cater, J. E. (ed.) 17th Australasian Fluid Mechanics Conference (AFMC 2010). Auckland, New Zealand 05 - 09 Dec 2010 Auckland, New Zealand.
Statistical inference
Khan, Shahjahan. 2010. "Statistical inference." Gaber, Mohamed Medhat (ed.) Scientific data mining and knowledge discovery: principles and foundations. Berlin, Germany. Springer. pp. 53-76
Links between native forest and climate in Australia
Deo, Ravinesh C.. 2011. "Links between native forest and climate in Australia." Weather. 66 (3), pp. 64-69. https://doi.org/10.1002/wea.659
Increasing the power of the test through pre-test: a robust method
Yunus, Rossita M. and Khan, Shahjahan. 2011. "Increasing the power of the test through pre-test: a robust method." Communications in Statistics: Theory and Methods. 40 (4), pp. 581-597. https://doi.org/10.1080/03610920903350572
M-test for intercept after pre-testing on slope
Yunus, Rossita M. and Khan, Shahjahan. 2010. "M-test for intercept after pre-testing on slope." Journal of Statistical Modeling and Analytics. 1 (1), pp. 45-57.
Increasing power of robust test through pre-testing in multiple regression model
Yunus, Rossita M. and Khan, Shahjahan. 2010. "Increasing power of robust test through pre-testing in multiple regression model." Pakistan Journal of Statistics. 26 (1), pp. 151-170.
The simulated impact of land cover change on climate extremes in eastern Australia
Deo, R. C., Syktus, J. I., McAlpine, C. A. and Wong, K. K.. 2009. "The simulated impact of land cover change on climate extremes in eastern Australia." Anderssen, R. S., Braddock, R. D. and Newham, L. T. H. (ed.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Effect of exit Reynolds number on self-preservation of a plane jet
Mi, Jianchun, Feng, Baoping, Deo, Ravinesh C. and Nathan, Graham J.. 2009. "Effect of exit Reynolds number on self-preservation of a plane jet." Chinese Physics B. 58 (11), pp. 7756-7764.
A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate
McAlpine, C. A., Syktus, J., Ryan, J. G., Deo, R. C., McKeon, G. M., McGowan, H. A. and Phinn, S. R.. 2009. "A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate." Global Change Biology. 15 (9), pp. 2206-2223. https://doi.org/10.1111/j.1365-2486.2009.01939.x
Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia
Deo, R. C., Syktus, J. I., McAlpine, C. A., Lawrence, P. J., McGowan, H. A. and Phinn, S. R.. 2009. "Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia." Geophysical Research Letters. 36 (8), pp. 1-5. https://doi.org/10.1029/2009GL037666
On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005
Deo, R. C., McAlpine, C. A., Syktus, J., McGowan, H. A. and Phinn, S.. 2007. "On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Impact of land cover change on regional climate and El Nino in Australia
Syktus, J., Deo, R. C., McAlpine, C. A., McGowan, H. A. and Phinn, S.. 2007. "Impact of land cover change on regional climate and El Nino in Australia." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Experimental investigations of the effect of Reynolds number on a plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "Experimental investigations of the effect of Reynolds number on a plane jet." Jacobs, Peter A., McIntyre, Tim, Cleary, Matthew J., Buttsworth, David R., Mee, David, Clements, Rose, Morgan, Richard and Lemckert, Charles (ed.) 16th Australasian Fluid Mechanics Conference (AFMC 2007). Gold Coast, Australia 03 - 07 Dec 2007 Brisbane, Australia.
The influence of Reynolds number on a plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2008. "The influence of Reynolds number on a plane jet." Physics of Fluids. 20 (7), pp. 075108-1. https://doi.org/10.1063/1.2959171
The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet." Experimental Thermal and Fluid Science. 32 (2), pp. 545-559. https://doi.org/10.1016/j.expthermflusci.2007.06.004
The influence of nozzle aspect ratio on plane jets
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle aspect ratio on plane jets." Experimental Thermal and Fluid Science. 31 (8), pp. 825-838. https://doi.org/10.1016/j.expthermflusci.2006.08.009
Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji
Kumar, Vickal V., Deo, Ravinesh C. and Ramachandran, Visagaperuman. 2006. "Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji." Atmospheric Science Letters. 7 (3), pp. 53-58. https://doi.org/10.1002/asl.131
Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales
Mi, Jianchun, Deo, Ravinesh C. and Nathan, Graham J.. 2005. "Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales." Physical Review E. 71 (6), pp. 1-5. https://doi.org/10.1103/PhysRevE.71.066304
Characterization of turbulent jets from high-aspect-ratio rectangular nozzles
Mi, J., Deo, R. C. and Nathan, G. J.. 2005. "Characterization of turbulent jets from high-aspect-ratio rectangular nozzles." Physics of Fluids. 17 (6), pp. 1-4. https://doi.org/10.1063/1.1928667
An investigation on rainfall patterns and the general circulation in the southwest Pacific region
Deo, Ravinesh C.. 2004. "An investigation on rainfall patterns and the general circulation in the southwest Pacific region." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.
Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls
Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2007. "Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls." Experimental Thermal and Fluid Science. 32 (2), pp. 596-606. https://doi.org/10.1016/j.expthermflusci.2007.06.009
Dependence of a plane turbulent jet on its nozzle contraction profile
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2005. "Dependence of a plane turbulent jet on its nozzle contraction profile." Jets, Wakes and Separated Flows: International Conference on Jets, Wakes and Separated Flows (ICJWSF) (2005). Mie, Japan 05 - 08 Oct 2005 Mie, Japan.
An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet
Deo, R. C., Mi, J. and Nathan, G. J.. 2004. "An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet." Behnia, M., Lin, W. and McBain, G. D. (ed.) 15th Australasian Fluid Mechanics Conference (AFMC 2004). Sydney, Australia 13 - 17 Dec 2004 Sydney, Australia.
Scientific and scholarly contributions of Distinguished Research and Emeritus Professor A K Md Ehsanes Saleh
Khan, Shahjahan. 2009. "Scientific and scholarly contributions of Distinguished Research and Emeritus Professor A K Md Ehsanes Saleh." International Journal of Statistical Sciences. 9, pp. 7-31.
Meta-analysis of randomised clinical trials comparing open and laparoscopic anti-reflux surgery
Peters, Matthew James, Mukhtar, Athar, Yunus, Rossita Mohamad, Khan, Shahjahan, Pappalardo, Juanita, Memon, Breda and Memon, Muhammed Ashraf. 2009. "Meta-analysis of randomised clinical trials comparing open and laparoscopic anti-reflux surgery." The American Journal of Gastroenterology. 104 (6), pp. 1548-1561. https://doi.org/10.1038/ajg.2009.176
Optimal tolerance regions for future regression vector and residual sum of squares of multiple regression model with multivariate spherically contoured errors
Khan, Shahjahan. 2009. "Optimal tolerance regions for future regression vector and residual sum of squares of multiple regression model with multivariate spherically contoured errors." Statistical Papers. 50 (3), pp. 511-525. https://doi.org/10.1007/s00362-007-0095-y
Prediction distribution of generalized geometric series distribution and its different forms
Hassan, Anwar and Khan, Shahjahan. 2009. "Prediction distribution of generalized geometric series distribution and its different forms." Pakistan Journal of Statistics. 25 (1), pp. 47-57.
Improved meta analysis using predicted relative risk
Khan, Shahjahan and Hasan, Md Masud. 2008. "Improved meta analysis using predicted relative risk." Chowdhury, Abdul Hannan, Khan, Shahjahan, Ahmed, Nasar U., Rahman, M. Saydur and Kibria, B. M. Golam (ed.) 2008 International Conference on Recent Development in Statistical Sciences. Dhaka, Bangladesh 26 - 27 Dec 2008 Dhaka, Bangladesh.
Estimation of slope for linear regression model with uncertain prior information and student-t error
Khan, Shahjahan and Saleh, A. K. Md. E.. 2008. "Estimation of slope for linear regression model with uncertain prior information and student-t error." Communications in Statistics: Theory and Methods. 37 (16), pp. 2564-2581. https://doi.org/10.1080/03610920802040399
Sine square distribution: a new statistical model based on the sine function
Al-Faris, Rand Q. and Khan, Shahjahan. 2008. "Sine square distribution: a new statistical model based on the sine function." Journal of Applied Probability and Statistics. 3 (1), pp. 163-173.
Estimation in multiple regression model with elliptically contoured errors under MLINEX loss
Arashi, M., Tabatabaey, S. M. M. and Khan, Shahjahan. 2008. "Estimation in multiple regression model with elliptically contoured errors under MLINEX loss." Journal of Applied Probability and Statistics. 3 (1), pp. 23-35.
Prediction distribution for linear regression model with multivariate student-t errors
Rahman, Azizur and Khan, Shahjahan. 2008. "Prediction distribution for linear regression model with multivariate student-t errors." Far East Journal of Theoretical Statistics. 24 (1), pp. 35-48.
Shrinkage estimators of intercept parameters of two simple regression models with suspected equal slopes
Khan, Shahjahan. 2008. "Shrinkage estimators of intercept parameters of two simple regression models with suspected equal slopes." Communications in Statistics: Theory and Methods. 37 (2), pp. 247-260. https://doi.org/10.1080/03610920701648961
Comparison of estimators of means based on p-samples from multivariate Student-t population
Khan, Shahjahan and Saleh, A. K. Md. Ehsanes. 1998. "Comparison of estimators of means based on p-samples from multivariate Student-t population." Communications in Statistics: Theory and Methods. 27 (1), pp. 193-210. https://doi.org/10.1080/03610929808832660
Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach
Rahman, Azizur and Khan, Shahjahan. 2007. "Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach." Ismail, Fudziah, Tarmizi, Rohani, Midi, Habsha, Said, Mohamad and Abbas, Zulkifly (ed.) 3rd International Conference on Research and Education in Mathematics (ICREM3). Kuala Lumpur, Malaysia 10 - 12 Apr 2007 Kuala Lumpur, Malaysia.
Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information
Khan, Shahjahan. 2006. "Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information." Model Assisted Statistics and Applications: an international journal. 1 (3), pp. 193-205.
Estimation of the parameters of two parallel regression lines under uncertain prior information
Khan, Shahjahan. 2003. "Estimation of the parameters of two parallel regression lines under uncertain prior information." Biometrical Journal: journal of mathematical methods in biosciences. 45 (1), pp. 73-90. https://doi.org/10.1002/bimj.200290017
The role of the shape parameter in the estimation of the mean vector in multivariate Student-t population
Khan, Shahjahan. 2004. "The role of the shape parameter in the estimation of the mean vector in multivariate Student-t population." International Journal of Statistical Sciences. 3 (Special issue), pp. 69-89.
Improved estimation of the mean vector for Student-t model.
Khan, Shahjahan. 2000. "Improved estimation of the mean vector for Student-t model." Communications in Statistics: Theory and Methods. 29 (3), pp. 507-527.
Distribution of sum of squares and products matrices for the generalized multilinear matrix-T model
Khan, Shahjahan. 2002. "Distribution of sum of squares and products matrices for the generalized multilinear matrix-T model." Journal of Multivariate Analysis. 83, pp. 124-140. https://doi.org/10.1006/jmva.2001.2040
Distribution of future location vector and residual sum of squares for multivariate location-scale model with spherically contoured errors
Khan, Shahjahan and Kabir, Md Enamul. 2006. "Distribution of future location vector and residual sum of squares for multivariate location-scale model with spherically contoured errors." Journal of Statistical Theory and Applications. 5 (2), pp. 91-104.
Predictive distribution of regression vector and residual sum of squares for normal multiple regression model
Khan, Shahjahan. 2004. "Predictive distribution of regression vector and residual sum of squares for normal multiple regression model." Communications in Statistics: Theory and Methods. 33 (10), pp. 2423-2443. https://doi.org/10.1081/STA-200031471
Preliminary test estimators for the multivariate normal mean based on the modified W, LR and LM tests
Khan, S. and Hoque, Z.. 2003. "Preliminary test estimators for the multivariate normal mean based on the modified W, LR and LM tests." Journal of Statistical Research. 37 (1), pp. 43-55.