Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis

Paper

Al-Hadeethi, Ikhlas, Li, Yan, Seneweera, Saman and Al-Hadeethi, Hanan. 2017. "Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis." Frangos, Christos C. (ed.) 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017). Athens, Greece 29 - 30 Jun 2017 Athens, Greece.
Paper/Presentation Title

Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis

Presentation TypePaper
AuthorsAl-Hadeethi, Ikhlas (Author), Li, Yan (Animator), Seneweera, Saman (Author) and Al-Hadeethi, Hanan (Author)
EditorsFrangos, Christos C.
Journal or Proceedings TitleProceedings of the 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017)
Number of Pages12
Year2017
Place of PublicationAthens, Greece
ISBN9786188298002
Web Address (URL) of Paperhttps://books.google.com.au/books/about/Proceedings_of_the_1st_International_Con.html?id=BSUsDwAAQBAJ&redir_esc=y
Conference/Event1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017)
Event Details
1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017)
Event Date
29 to end of 30 Jun 2017
Event Location
Athens, Greece
Abstract

As meta-analysis is an effective tool for assisting decision-makers, there has been a recent increase in demand for its use to solve controversies regarding important human life issues. Meta-analysis allows a thematic appraisal of evidence, which can lead to a resolution of suspicions and disagreements. Carbon dioxide, temperature, and nitrogen are considered as the most important factors influencing crop production. These environmental variables significantly affect grain yield and grain protein concentrations, which are key determinants of grain quality. Consequently, they affect human and animal nutrition. A more detailed understanding of how these environmental factors contribute towards the grain protein content is essential for addressing global nutrient security in the changing climate. To our knowledge, there have been no studies conducted to assess the effect of CO2, temperature and nitrogen supply on grain protein and grain yield using meta-analysis. In addition, performance evaluations were mainly conducted in previous studies through traditional statistical measures, and only the combined effect of CO2, temperature and nitrogen on grain protein and grain yield were analysed. Therefore, this study focuses on estimating the effects of CO2, temperature and nitrogen on grain protein and grain yield using meta-analysis. In this work, a new approach based on the dplyr package in R is proposed for organizing and categorizing the research data for meta-analysis. The performances of the proposed methods are evaluated using various measurements, such as the Cochran's Q statistic and its p-value, I2 statistic, and
tau-squared. Overall, the aim of this study was to reveal the significance and reliability of a meta-analysis in analysing the effects of carbon dioxide, temperature and nitrogen on the quality of agricultural crops. The results indicated that the protein concentration was decreased by 0.62% and grain yield was increased by 0.52% under elevated carbon dioxide, ambient temperature and low nitrogen. In contrast, protein concentration was reduced by 0.65% and grain yield was increased by 0.78% under the elevated carbon dioxide, ambient temperature and medium nitrogen. We concluded that meta-analysis can be used to study the effects of CO2, temperature and nitrogen on grain protein concentration and grain yield. The outcomes of this project will inform experts and decision-makers about the effects of CO2, temperature and nitrogen on grain quality, and enable the investigation of suitable solutions

Keywordsmeta-analysis, dplyr package, grain protein, grain yield
ANZSRC Field of Research 2020490501. Applied statistics
Public Notes

No evidence of copyright restrictions preventing deposit of Accepted Version.

Byline AffiliationsSchool of Agricultural, Computational and Environmental Sciences
Centre for Crop Health
Institution of OriginUniversity of Southern Queensland
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Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153
Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App
Song Bo, Ahad, Md Taimur, Li, Yan and Rahman, F.M. Nafis. 2022. "Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App ." Mobile Information Systems. 2022. https://doi.org/10.1155/2022/5606833
A Review of the State of the Art in Privacy and Security in the eHealth Cloud
Sahi, Aqeel, Lai, David and Li, Yan. 2021. "A Review of the State of the Art in Privacy and Security in the eHealth Cloud." IEEE Access. 9, pp. 104127-104141. https://doi.org/10.1109/ACCESS.2021.3098708
Iron modification to silicon-rich biochar and alternative water management to decrease arsenic accumulation in rice (Oryza sativa L.)
Kumarathilaka, Prasanna, Bundschuh, Jochen, Seneweera, Saman, Marchuk, Alla and Ok, Yong Sik. 2021. "Iron modification to silicon-rich biochar and alternative water management to decrease arsenic accumulation in rice (Oryza sativa L.)." Environmental Pollution. 286, pp. 1-10. https://doi.org/10.1016/j.envpol.2021.117661
A novel spectral entropy-based index for assessing the depth of anaesthesia
Ra, Jee Sook, Li, Tianning and Li, Yan. 2021. "A novel spectral entropy-based index for assessing the depth of anaesthesia." Brain Informatics. 8 (1). https://doi.org/10.1186/s40708-021-00130-8
Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2021. "Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier." Neuroscience Research. 172, pp. 26-40. https://doi.org/10.1016/j.neures.2021.03.012
An efficient hash based parallel block cipher mode of operation
Sahi, Aqeel, Lai, David and Li, Yan. 2018. "An efficient hash based parallel block cipher mode of operation." 3rd IEEE International Conference on Computer and Communication Systems (ICCCS 2018). Nagoya, Japan 27 - 30 Apr 2018 New York, United States.
A preliminary study of the impact of lateral head orientations on the current distributions during tDCS
Song, Bo, Menezes de Oliveira, Marilia, Wang, Shuaifang, Li, Yan, Wen, Peng and Ahfock, Tony. 2019. "A preliminary study of the impact of lateral head orientations on the current distributions during tDCS." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. https://doi.org/10.1007/978-3-030-37078-7_25
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
Developing artificial intelligence models for classification of brain disorder diseases based on statistical techniques
Al-Hadeethi, Hanan Ali Hammoodi. 2021. Developing artificial intelligence models for classification of brain disorder diseases based on statistical techniques. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/04sf-m033
Three-party password-based authenticated key exchange protocol based on the computational Diffie-Hellman assumption
Sahi, Aqeel, Lai, David and Li, Yan. 2018. "Three-party password-based authenticated key exchange protocol based on the computational Diffie-Hellman assumption." International Journal of Communication Networks and Distributed Systems. 21 (4), pp. 560-581. https://doi.org/10.1504/IJCNDS.2018.095373
Rice genotype's responses to arsenic stress and cancer risk: the effects of integrated birnessite-modified rice hull biochar-water management applications
Kumarathilaka, Prasanna, Bundschuh, Jochen, Seneweera, Saman and Ok, Yong Sik. 2021. "Rice genotype's responses to arsenic stress and cancer risk: the effects of integrated birnessite-modified rice hull biochar-water management applications." Science of the Total Environment. 768, pp. 1-9. https://doi.org/10.1016/j.scitotenv.2020.144531
An integrated approach of rice hull biochar-alternative water management as a promising tool to decrease inorganic arsenic levels and to sustain essential element contents in rice
Kumarathilaka, Prasanna, Bundschuh, Jochen, Seneweera, Saman and Ok, Yong Sik. 2021. "An integrated approach of rice hull biochar-alternative water management as a promising tool to decrease inorganic arsenic levels and to sustain essential element contents in rice." Journal of Hazardous Materials. 405, pp. 1-9. https://doi.org/10.1016/j.jhazmat.2020.124188
An improved non-local means filter for color image denoising
Wang, Gaihua, Liu, Yang, Xiong, Wei and Li, Yan. 2018. "An improved non-local means filter for color image denoising." Optik. 173, pp. 157-173. https://doi.org/10.1016/j.ijleo.2018.08.013
Multiscale entropy algorithms and their applications in cardiac disease discrimination
Wan, Xiangkui, Zhu, Binru, Jin, Zhiyao, Zhang, Mingru and Li, Yan. 2020. "Multiscale entropy algorithms and their applications in cardiac disease discrimination." Journal of Mechanics in Medicine and Biology. 20 (8), pp. 1-13. https://doi.org/10.1142/S0219519420500529
Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625
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
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133
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
A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384
Complex networks approach for depth of anesthesia assessment
Diykh, Mohammed, Li, Yan, Wen, Peng and Li, Tianning. 2018. "Complex networks approach for depth of anesthesia assessment." Measurement. 119, pp. 178-189. https://doi.org/10.1016/j.measurement.2018.01.024
Simulation α of EEG using brain network model
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2017. "Simulation α of EEG using brain network model." Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed (ed.) First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.
Exploring natural variation of photosynthesis in a site-specific manner: evolution, progress, and prospects
Dehigaspitiya, Prabuddha, Milham, Paul, Ash, Gavin J., Arun-Chinnappa, Kiruba, Gamage, Dananjali, Martin, Anke, Nagasaka, Seiji and Seneweera, Saman. 2019. "Exploring natural variation of photosynthesis in a site-specific manner: evolution, progress, and prospects." Planta: an international journal of plant biology. 250, pp. 1033-1050. https://doi.org/10.1007/s00425-019-03223-1
Assessment of grain quality in terms of functional group response to elevated [CO2], water, and nitrogen using a meta‐analysis: grain protein, zinc, and iron under future climate
Al‐Hadeethi, Ikhlas, Li, Yan, Odhafa, Abdul Kareem H., Seneweera, Saman and Lam, Shu K.. 2019. "Assessment of grain quality in terms of functional group response to elevated [CO2], water, and nitrogen using a meta‐analysis: grain protein, zinc, and iron under future climate." Ecology and Evolution. 9 (13), pp. 7425-7437. https://doi.org/10.1002/ece3.5210
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034
EEG sleep stages identification based on weighted undirected complex networks
Diykh, Mohammed, Li, Yan and Abdulla, Shahab. 2020. "EEG sleep stages identification based on weighted undirected complex networks." Computer Methods and Programs in Biomedicine. 184, pp. 1-14. https://doi.org/10.1016/j.cmpb.2019.105116
Electrocardiogram Baseline Wander Suppression Based on the Combination of Morphological and Wavelet Transformation Based Filtering
Wan, Xiang-kui, Wu, Haibo, Qiao, Fei, Li, Feng-cong, Li, Yan, Yan, Yue-wen and Wei, Jia-xin. 2019. "Electrocardiogram Baseline Wander Suppression Based on the Combination of Morphological and Wavelet Transformation Based Filtering." Computational and Mathematical Methods in Medicine. 2019, pp. 1-7. https://doi.org/10.1155/2019/7196156
Relationships between foot dimensions and plantar pressure distributed in older people
Abbas, Nibras S., Chong, Albert, Al-Kharaz, Ali A. and Al-Hadeethi, Hanan. 2020. "Relationships between foot dimensions and plantar pressure distributed in older people." IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020). Penang, Malaysia 18 - 19 Apr 2020 Malaysia. pp. 198-202 https://doi.org/10.1109/ISCAIE47305.2020.9108800
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
Varietal diversity of Sri Lankan traditional rice based on sensitivity to temperature and photoperiod at vegetative stage
Rathnathunga, Elpitiya Udari Uvindhya, Senanayake, Gamini, Seneweera, Saman and Geekiyanage, Sudarshanee. 2019. "Varietal diversity of Sri Lankan traditional rice based on sensitivity to temperature and photoperiod at vegetative stage." Journal of the National Science Foundation of Sri Lanka. 47 (1), pp. 51-68. https://doi.org/10.4038/jnsfsr.v47i1.8928
Impact of elevated carbon dioxide and temperature on strawberry polyphenols
Balasooriya, Himali N., Dassanayake, Kithsiri B., Seneweera, Saman and Ajlouni, Said. 2019. "Impact of elevated carbon dioxide and temperature on strawberry polyphenols." Journal of the Science of Food and Agriculture. 99 (10), pp. 4659-4669. https://doi.org/10.1002/jsfa.9706
Photosynthesis and yield response to elevated CO2, C4 plant foxtail millet behaves similarly to C3 species
Li, Ping, Li, Bingyan, Seneweera, Saman, Zong, Yuzheng, Li, Frank Yonghong, Han, Yuanhuai and Hao, Xingyu. 2019. "Photosynthesis and yield response to elevated CO2, C4 plant foxtail millet behaves similarly to C3 species." Plant Science. 285, pp. 239-247. https://doi.org/10.1016/j.plantsci.2019.05.006
Identification of low phytic acid and high Zn bioavailable rice (Oryza sativa L.) from 69 accessions of the world rice core collection
Perera, Ishara, Fukushima, Ayaka, Arai, Mako, Yamada, Kenta, Nagasaka, Seiji, Seneweera, Saman and Hirotsu, Naoki. 2019. "Identification of low phytic acid and high Zn bioavailable rice (Oryza sativa L.) from 69 accessions of the world rice core collection." Journal of Cereal Science. 85, pp. 206-213. https://doi.org/10.1016/j.jcs.2018.12.010
Elevated carbon dioxide and nitrogen supply affect photosynthesis and nitrogen partitioning of two wheat varieties
Li, Ping, Hao, Xingyu, Aryal, Mela, Thompson, Michael and Seneweera, Saman. 2019. "Elevated carbon dioxide and nitrogen supply affect photosynthesis and nitrogen partitioning of two wheat varieties." Journal of Plant Nutrition. 42 (11-12), pp. 1290-1300. https://doi.org/10.1080/01904167.2019.1616758
Modelling and simulating different bands of EEG signals with the virtual brain
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2019. "Modelling and simulating different bands of EEG signals with the virtual brain." International Journal of Electrical, Electronics and Data Communication. 7 (5), pp. 66-70.
Effect of elevated carbon dioxide on plant biomass and grain protein concentration differs across bread, durum and synthetic hexaploid wheat genotypes
Thompson, Michael, Gamage, Dananjali, Ratnasekera, Disna, Perera, Anton, Martin, Anke and Seneweera, Saman. 2019. "Effect of elevated carbon dioxide on plant biomass and grain protein concentration differs across bread, durum and synthetic hexaploid wheat genotypes." Journal of Cereal Science. 87, pp. 103-110. https://doi.org/10.1016/j.jcs.2019.03.007
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045
Mitigation of arsenic accumulation in rice: an agronomical, physico-chemical, and biological approach – a critical review
Kumarathilaka, Prasanna, Seneweera, Saman, Ok, Yong Sik, Meharg, Andrew A. and Bundschuh, Jochen. 2020. "Mitigation of arsenic accumulation in rice: an agronomical, physico-chemical, and biological approach – a critical review." Critical Reviews in Environmental Science and Technology. 50 (1), pp. 31-71. https://doi.org/10.1080/10643389.2019.1618691
An auto TCD probe design and visualization
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2018. "An auto TCD probe design and visualization." Wang, Shouyi, Yamamoto, Vicky, Su, Jianzhong, Yang, Yang, Jones, Erick, Iasemidis, Leon and Mitchell, Tom (ed.) 11th International Conference on Brain Informatics (BI 2018). Arlington, United States 07 - 09 Dec 2018 Sham, Switzerland. https://doi.org/10.1007/978-3-030-05587-5_46
Arsenic in cooked rice foods: assessing health risks and mitigation options
Kumarathilaka, Prasanna, Seneweera, Saman, Ok, Yong Sik, Meharg, Andrew and Bundschuh, Jochen. 2019. "Arsenic in cooked rice foods: assessing health risks and mitigation options." Environment International. 127, pp. 584-591. https://doi.org/10.1016/j.envint.2019.04.004
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
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2020. "An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions." IEEE Transactions on Intelligent Transportation Systems. 21 (2), pp. 553-564. https://doi.org/10.1109/TITS.2019.2897990
Effects of elevated carbon dioxide on photosynthesis and carbon partitioning: a perspective on root sugar sensing and hormonal crosstalk
Thompson, Michael, Gamage, Dananjali, Hirotsu, Naoki, Martin, Anke and Seneweera, Saman. 2017. "Effects of elevated carbon dioxide on photosynthesis and carbon partitioning: a perspective on root sugar sensing and hormonal crosstalk." Frontiers in Physiology. 8, pp. 1-13. https://doi.org/10.3389/fphys.2017.00578
A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, S. and Abdulla, Shahab. 2019. "A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification." Journal of Neuroscience Methods. 312, pp. 43-52. https://doi.org/10.1016/j.jneumeth.2018.11.014
New insights into the cellular mechanisms of plant growth at elevated atmospheric carbon dioxide concentrations
Gamage, Dananjali, Thompson, Michael, Sutherland, Mark, Hirotsu, Naoki, Makino, Amane and Seneweera, Saman. 2018. "New insights into the cellular mechanisms of plant growth at elevated atmospheric carbon dioxide concentrations." Plant, Cell and Environment. 41 (6), pp. 1233-1246. https://doi.org/10.1111/pce.13206
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
Al-Salman, Wessam, Li, Yan, Wen, Peng and Diykh, Mohammed. 2018. "An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image." Biomedical Signal Processing and Control. 41, pp. 210-221. https://doi.org/10.1016/j.bspc.2017.11.019
Impacts of elevated atmospheric CO2 on nutrient content of important food crops
Dietterich, Lee H., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold J., Carlisle, Eli, Fernando, Nimesha, Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Norton, Robert, Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, ..., Myers, Samuel S.. 2015. "Impacts of elevated atmospheric CO2 on nutrient content of important food crops." Scientific Data. 2, pp. 1-8. https://doi.org/10.1038/sdata.2015.36
Arsenic accumulation in rice (Oryza sativa L.) is influenced by environment and genetic factors
Kumarathilaka, Prasanna, Seneweera, Saman, Meharg, Andrew and Bundschuh, Jochen. 2018. "Arsenic accumulation in rice (Oryza sativa L.) is influenced by environment and genetic factors." Science of the Total Environment. 642, pp. 485-496. https://doi.org/10.1016/j.scitotenv.2018.06.030
Arsenic speciation dynamics in paddy rice soil-water environment: sources, physico-chemical, and biological factors - a review
Kumarathilaka, Prasanna, Seneweera, Saman, Meharg, Andrew and Bundschuh, Jochen. 2018. "Arsenic speciation dynamics in paddy rice soil-water environment: sources, physico-chemical, and biological factors - a review." Water Research. 140, pp. 403-414. https://doi.org/10.1016/j.watres.2018.04.034
Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0
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
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
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
Epileptic EEG signal classification using optimum allocation based power spectral density estimation
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2018. "Epileptic EEG signal classification using optimum allocation based power spectral density estimation." IET Signal Processing. 12 (6), pp. 738-747. https://doi.org/10.1049/iet-spr.2017.0140
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 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthy
Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly, Abdulla, Shahab and Wen, Paul. 2017. "Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction." Siuly, Siuly, Huang, Zhisheng, Aickelin, Uwe, Zhou, Rui, Wang, Hua, Zhang, Yanchun and Klimenko, Stanislav (ed.) 6th International Conference on Health Information Science (HIS 2017). Moscow, Russian Federation 07 - 09 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-69182-4_6
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Abbas, Wessam, Luo, Yonglong, Chen, Fulong and Tseng, Vincent S.. 2017. "A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset." Kim, Jinho, Shim, Kyuseok, Cao, Longbing, Lee, Jae-Gil, Lin, Xuemin and Moon, Yang-Sae (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Switzerland. Springer. https://doi.org/10.1007/978-3-319-57454-7_51
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
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
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
Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study
Wang, Xin, Li, Yan, Chen, Tongjun, Yan, Qiuyan and Ma, Li. 2017. "Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study." Computers and Geosciences. 101, pp. 38-47. https://doi.org/10.1016/j.cageo.2017.02.001
Classify epileptic EEG signals using weighted complex networks based community structure detection
Diykh, Mohammed, Li, Yan and Wen, Peng. 2017. "Classify epileptic EEG signals using weighted complex networks based community structure detection." Expert Systems with Applications. 90, pp. 87-100. https://doi.org/10.1016/j.eswa.2017.08.012
An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment
Sahi, Aqeel, Lai, David, Li, Yan and Diykh, Mohammed. 2017. "An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment ." IEEE Access. 5, pp. 6036-6048. https://doi.org/10.1109/ACCESS.2017.2688460
Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318
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
Investigation of ethanol production potential from lignocellulosic material without enzymatic hydrolysis using the ultrasound technique
Kandasamy, Manoj, Hamawand, Ihsan, Bowtell, Leslie, Seneweera, Saman, Chakrabarty, Sayan, Yusaf, Talal, Shakoor, Zaidoon, Algayyim, Sattar and Eberhard, Friederike. 2017. "Investigation of ethanol production potential from lignocellulosic material without enzymatic hydrolysis using the ultrasound technique." Energies. 10 (1), pp. 62-73. https://doi.org/10.3390/en10010062
Medical geology in the framework of the sustainable development goals
Bundschuh, Jochen, Maity, Jyoti Prakash, Mushtaq, Shahbaz Mushtaq, Vithange, Meththika, Seneweera, Saman, Schneider, Jerusa, Bhattacharya, Prosun, Khan, Nasreen Islam, Hamawand, Ihsan, Guilherme, Luiz R. G., Reardon-Smith, Kathryn, Parvez, Faruque, Morales-Simfors, Nury, Ghaze, Sara, Pudmenzky, Christa, Kouadio, Louis and Chen, Chien-Yen. 2017. "Medical geology in the framework of the sustainable development goals." Science of the Total Environment. 581-582, pp. 87-104. https://doi.org/10.1016/j.scitotenv.2016.11.208
Manipulating the phytic acid content of rice grain toward improving micronutrient bioavailability
Perera, Ishara, Seneweera, Saman and Hirotsu, Naoki. 2018. "Manipulating the phytic acid content of rice grain toward improving micronutrient bioavailability." Rice. 11 (4), pp. 1-13. https://doi.org/10.1186/s12284-018-0200-y
Food systems and climate change: impact and adaptation in cropping and livestock
Ghahramani, Afshin and Seneweera, Saman. 2018. "Food systems and climate change: impact and adaptation in cropping and livestock." Zeunert, Joshua and Waterman, Tim (ed.) Routledge handbook of landscape and food. Milton Park, United Kingdom. Routledge. pp. 271-277
Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features." Biomedical Signal Processing and Control. 48, pp. 80-92. https://doi.org/10.1016/j.bspc.2018.10.004
An energy efficient TCP DoS attacks mitigation method in cloud computing
Sahi, Aqeel, Lai, David and Li, Yan. 2017. "An energy efficient TCP DoS attacks mitigation method in cloud computing." Al-Jumaily, Adel Ali, Barifcani, Ahmed and Al-Jumaily, Ahmed (ed.) 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.
Influence of rising atmospheric C02 concentrations and temperature on growth, yield and grain quality of cereal crops
Conroy, J. P., Seneweera, S., Basra, A. S., Rogers, G. and Nissen-Wooller, B.. 1994. "Influence of rising atmospheric C02 concentrations and temperature on growth, yield and grain quality of cereal crops." Australian Journal of Plant Physiology. 21 (6), pp. 741-758. https://doi.org/10.1071/PP9940741
Influence of elevated C02 and phosphorus nutrition on the growth and yield of a short-duration rice (Oryza sativa L. cv. Jarrah)
Seneweera, Saman, Milham, Paul and Conroy, Jann. 1994. "Influence of elevated C02 and phosphorus nutrition on the growth and yield of a short-duration rice (Oryza sativa L. cv. Jarrah)." Australian Journal of Plant Physiology. 21 (3), pp. 281-292. https://doi.org/10.1071/PP9940281
Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2018. "Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images." Expert Systems with Applications. 92, pp. 216-235. https://doi.org/10.1016/j.eswa.2017.09.036
Complex networks approach for EEG signal sleep stages classification
Diykh, Mohammed and Li, Yan. 2016. "Complex networks approach for EEG signal sleep stages classification." Expert Systems with Applications. 63, pp. 241-248. https://doi.org/10.1016/j.eswa.2016.07.004
Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios
Xiong, Wei, Jingjing, Xu, Li, Yan, Wan, Xiangkui and Jin, Liang. 2016. "Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios." Eurasip Journal on Wireless Communications and Networking. 32, pp. 1-10. https://doi.org/10.1186/s13638-016-0529-0
A T-wave alternans assessment method based on least squares curve fitting technique
Wan, Xiangkui, Li, Yan, Xia, Chong, Wu, Minghu, Liang, Jin and Wang, Na. 2016. "A T-wave alternans assessment method based on least squares curve fitting technique." Measurement. 86, pp. 93-100. https://doi.org/10.1016/j.measurement.2016.01.046
Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan
Sahi, Aqeel, Lai, David and Li, Yan. 2016. "Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan." Computers in Biology and Medicine. 78, pp. 1-8. https://doi.org/10.1016/j.compbiomed.2016.09.003
Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation
Song, Bo, Wen, Peng, Ahfock, Tony and Li, Yan. 2016. "Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation." IEEE Transactions on Biomedical Engineering. 63 (1), pp. 176-187. https://doi.org/10.1109/TBME.2015.2468672
Data selection in EEG signals classification
Wang, Shuaifang, Li, Yan, Wen, Peng and Lai, David. 2016. "Data selection in EEG signals classification." Physical and Engineering Sciences in Medicine. 39 (1), pp. 157-165. https://doi.org/10.1007/s13246-015-0414-x
Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal." IEEE Journal of Biomedical and Health Informatics. 18 (6), pp. 1813-1821. https://doi.org/10.1109/JBHI.2014.2303991
Depth of anaesthesia monitors and the latest algorithms
Li, Tianning and Li, Yan. 2014. "Depth of anaesthesia monitors and the latest algorithms." Asian Pacific Journal of Tropical Medicine. 7 (6), pp. 429-437. https://doi.org/10.1016/S1995-7645(14)60070-5
EEG sleep stages classification based on time domain features and structural graph similarity
Diykh, Mohammed, Li, Yan and Wen, Peng. 2016. "EEG sleep stages classification based on time domain features and structural graph similarity." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24 (11), pp. 1159-1168. https://doi.org/10.1109/TNSRE.2016.2552539
Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means
Zhu, Guohun, Li, Yan, Wen, Peng (Paul) and Wang, Shuaifang. 2015. "Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) Signal and image analysis for biomedical and life sciences. United States. Springer. pp. 143-157
EEG signal analysis and classification: techniques and applications
Siuly, Siuly, Li, Yan and Zhang, Yanchun. 2017. EEG signal analysis and classification: techniques and applications. Switzerland. Springer.
Field-scale evaluation of biosolids-derived organomineral fertilizers applied to winter wheat in England
Antille, Diogenes L., Godwin, Richard J., Sakrabani, Ruben, Seneweera, Saman, Tyrrel, Sean F. and Johnston, A. Edward. 2017. "Field-scale evaluation of biosolids-derived organomineral fertilizers applied to winter wheat in England." Agronomy Journal. 109 (2), pp. 1-21. https://doi.org/10.2134/agronj2016.09.0495
IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2016. "IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_58
Plant responses to increased carbon dioxide
Seneweera, S. and Norton, R. M.. 2011. "Plant responses to increased carbon dioxide." Yadav, Shyam S., Redden, Robert J., Hatfield, Jerry L., Lotze-Campen, Hermann and Hall, Anthony E. (ed.) Crop adaptation to climate change . Chichester, West Sussex. United Kingdom. John Wiley & Sons. pp. 198-217
Fuzzy and non-fuzzy approaches for digital image classification
Diykh, Mohammed and Li, Yan. 2016. "Fuzzy and non-fuzzy approaches for digital image classification." Journal of Theoretical and Applied Information Technology. 95 (4), pp. 858-870.
Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach
Siuly, Siuly and Li, Yan. 2015. "Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach." Neural Computing and Applications. 26 (4), pp. 799-811. https://doi.org/10.1007/s00521-014-1753-3
Development of a mini core collection from Sri Lankan traditional rice for flowering time variation
Rathnathunga, Udari, Senanayake, Gamini, Dissanayake, Nimal, Seneweera, Saman and Geekiyanage, Sudarshanee. 2016. "Development of a mini core collection from Sri Lankan traditional rice for flowering time variation." Australian Journal of Crop Science. 10 (9), pp. 1357-1367. https://doi.org/10.21475/ajcs.2016.10.09.p7865
Parallel encryption mode for probabilistic scheme to secure data in the cloud
Sahi, Aqeel, Lai, David and Li, Yan. 2015. "Parallel encryption mode for probabilistic scheme to secure data in the cloud." 10th International Conference on Information Technology and Applications (ICITA 2015). Sydney, Australia 01 - 04 Jul 2015 Australia.
Analysis of alcoholic EEG signals based on horizontal visibility graph entropy
Zhu, Guohun, Li, Yan, Wen, Peng and Wang, Shuaifang. 2014. "Analysis of alcoholic EEG signals based on horizontal visibility graph entropy." Brain Informatics. 1, pp. 19-25. https://doi.org/10.1007/s40708-014-0003-x
An intelligent recommender system based on predictive analysis in telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Tseng, Vincent S., Luo, Yonglong and Chen, Fulong. 2016. "An intelligent recommender system based on predictive analysis in telehealthcare environment." Web Intelligence. 14 (4), pp. 325-336. https://doi.org/10.3233/WEB-160348
Bioenergy from cotton industry wastes: a review and potential
Hamawand, Ihsan, Sandell, Gary, Pittaway, Pam, Chakrabarty, Sayan, Yusaf, Talal, Chen, Guangnan, Seneweera, Saman, Al-Lwayzy, Saddam, Bennett, John and Hopf, Joshua. 2016. "Bioenergy from cotton industry wastes: a review and potential." Renewable and Sustainable Energy Reviews. 66, pp. 435-448. https://doi.org/10.1016/j.rser.2016.08.033
Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study
Panozzo, J. F., Walker, C. K., Partington, D. L., Neumann, N. C., Tausz, M., Seneweera, S. and Fitzgerald, G. J.. 2014. "Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study." Journal of Cereal Science. 60 (3), pp. 461-470. https://doi.org/10.1016/j.jcs.2014.08.011
The chromosome regions for increasing early growth in rice: role of sucrose biosynthesis and NH4+ uptake
Nagai, Yuki, Matsumoto, Kouichi, Kakinuma, Yuri, Ujiie, Kazuhiro, Ishimaru, Ken, Gamage, Dananjali M., Thompson, Michael, Milham, Paul, Seneweera, Saman and Hirotsu, Naoki. 2016. "The chromosome regions for increasing early growth in rice: role of sucrose biosynthesis and NH4+ uptake." Euphytica: international journal on plant breeding. 211 (3), pp. 343-352. https://doi.org/10.1007/s10681-016-1743-x
Improving rice zinc biofortification success rates through genetic and crop management approaches in a changing environment
Nakanalage, Niluka, Nicolas, Marc, Norton, Robert, Hirotsu, Naoki, Milham, Paul J. and Seneweera, Saman. 2016. "Improving rice zinc biofortification success rates through genetic and crop management approaches in a changing environment." Frontiers in Plant Science. 7, pp. 1-13. https://doi.org/10.3389/fpls.2016.00764
Glyphosate resistance of C3 and C4 weeds under rising atmospheric CO2
Fernando, Nimesha, Manalil, Sudheesh, Florentine, Singarayer, Chauhan, Bagirath S. and Seneweera, Saman. 2016. "Glyphosate resistance of C3 and C4 weeds under rising atmospheric CO2." Frontiers in Plant Science. 7 (910), pp. 1-11. https://doi.org/10.3389/fpls.2016.00910
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
Al Ghayab, Hadi, Li, Yan, Abdulla, Shahab, Diykh, Mohammed and Wan, Xiangkui. 2016. "Classification of epileptic EEG signals based on simple random sampling and sequential feature selection." Brain Informatics. 3 (2), pp. 85-91. https://doi.org/10.1007/s40708-016-0039-1
Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves
Fitzgerald, Glenn J., Tausz, Michael, O'Leary, Garry, Mollah, Mahabubur R., Tausz-Posch, Sabine, Seneweera, Saman, Mock, Ivan, Low, Markus, Partington, Debra L., McNeil, David and Norton, Robert M.. 2016. "Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves." Global Change Biology. 22 (6), pp. 2269-2284. https://doi.org/10.1111/gcb.13263
An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2015. "An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients." 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015. Singapore 06 - 09 Dec 2015 Singapore. https://doi.org/10.1109/WI-IAT.2015.47
Vegetative growth and yield associated flowering time variation in Sri Lankan rice 'Hondarawala'
Ranathunga, E. U. U., Senanayake, S. G. J. N., Dissanayake, N., Seneweera, S. and Geekiyanage, S.. 2016. "Vegetative growth and yield associated flowering time variation in Sri Lankan rice 'Hondarawala'." Journal of Agricultural Sciences - Sri Lanka. 11 (1), pp. 42-52. https://doi.org/10.4038/jas.v11i1.8079
Is a reduced-tillering trait (tin) beneficial under elevated CO2 in four FACE environments?
Low, Markus, Tausz-Posch, S., Rebetzke, G., Dreccer, M. F., Chapman, S. C., Seneweera, S., Fitzgerald, G. and Tausz, M.. 2015. "Is a reduced-tillering trait (tin) beneficial under elevated CO2 in four FACE environments?" Acuña, Tina , Moeller, C., Parsons , D. and Harrison, M. (ed.) 17th Australian Agronomy Conference 2015: Building Productive, Diverse and Sustainable Landscapes (AAC 2015). Hobart, Australia 20 - 24 Sep 2015 Warragul, Australia.
Leaf photosynthesis and yield components of mung bean under fully open-air elevated [CO2]
Gao, Ji, Han, Xue, Seneweera, Saman, Li, Ping, Zong, Yu-zheng, Dong, Qi, Lin, Er-da and Hao, Xing-yu. 2015. "Leaf photosynthesis and yield components of mung bean under fully open-air elevated [CO2]." Journal of Integrative Agriculture. 14 (5), pp. 977-983. https://doi.org/10.1016/S2095-3119(14)60941-2
Elevated atmospheric [CO2] stimulates sugar accumulation and cellulose degradation rates of rice straw
Zhu, Chunwa, Xu, Xi, Wang, Dan, Zhu, Jianguo, Liu, Gang and Seneweera, Saman. 2016. "Elevated atmospheric [CO2] stimulates sugar accumulation and cellulose degradation rates of rice straw." GCB Bioenergy. 8 (3), pp. 579-587. https://doi.org/10.1111/gcbb.12277
Seed vigor of contrasting rice cultivars in response to elevated carbon dioxide
Chen, Chen, Jiang, Qian, Ziska, Lewis H., Zhu, Jianguo, Liu, Gang, Zhang, Jihuang, Ni, Kang, Seneweera, Saman and Zhu, Chunwu. 2015. "Seed vigor of contrasting rice cultivars in response to elevated carbon dioxide." Field Crops Research. 178, pp. 63-68. https://doi.org/10.1016/j.fcr.2015.03.023
Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn, Khan, Alamgir and Seneweera, Saman. 2015. "Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics." Food Chemistry. 170, pp. 448-454. https://doi.org/10.1016/j.foodchem.2014.07.044
Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
Siuly, Siuly and Li, Yan. 2015. "Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification." Computer Methods and Programs in Biomedicine. 119 (1), pp. 29-42. https://doi.org/10.1016/j.cmpb.2015.01.002
Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?
Thilakarathne, Chamindathee L., Tausz-Posch, Sabine, Cane, Karen, Norton, Robert M., Fitzgerald, Glenn J., Tausz, Michael and Seneweera, Saman. 2015. "Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?" Functional Plant Biology: an international journal of plant function. 42 (3), pp. 299-308. https://doi.org/10.1071/FP14125
Autism Spectrum Disorder: Brain Images and Registration
Visutsak, Porawat and Li, Yan. 2016. "Autism Spectrum Disorder: Brain Images and Registration ." 5th International Conference on Health Information Science (HIS 2016). Shanghai, China 05 - 07 Nov 2016 Switzerland . Springer. https://doi.org/10.1007/978-3-319-48335-1_15
Flame-retardant coating by alternate assembly of poly(vinylphosphonic acid) and polyethylenimine for ramie fabrics
Wang, Li-li, Zhang, Tao, Yan, Hong-quiang, Peng, Mao, Fang, Zheng-ping, Li, Yan and Wang, Hao. 2014. "Flame-retardant coating by alternate assembly of poly(vinylphosphonic acid) and polyethylenimine for ramie fabrics." Chinese Journal of Polymer Science. 32 (3), pp. 305-314. https://doi.org/10.1007/s10118-014-1408-y
Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia
Li, Ying, Li, Yan and Wang, Xiaofen. 2014. "Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia." Wang, Xizhao, Pedrycz, Witold, Chan, Patrick and He, Qiang (ed.) 13th International Conference on Machine Learning and Cybernetics. Langzhou, China Berlin, Germany. https://doi.org/10.1007/978-3-662-45652-1_43
Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm." Computer Methods and Programs in Biomedicine. 115 (2), pp. 64-75. https://doi.org/10.1016/j.cmpb.2014.04.001
Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods
Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2014. "Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods." IET Signal Processing. 8 (9), pp. 907-917. https://doi.org/10.1049/iet-spr.2013.0113
Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface
Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2014. "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface ." Computer Methods and Programs in Biomedicine. 113 (3), pp. 767-780. https://doi.org/10.1016/j.cmpb.2013.12.020
A novel statistical algorithm for multiclass EEG signal classification
Siuly and Li, Yan. 2014. "A novel statistical algorithm for multiclass EEG signal classification." Engineering Applications of Artificial Intelligence. 34, pp. 154-167. https://doi.org/10.1016/j.engappai.2014.05.011
Real-time depth of anaesthesia assessment using strong analytical signal transform technique
Palendeng, Mario Elvis, Wen, Peng and Li, Yan. 2014. "Real-time depth of anaesthesia assessment using strong analytical signal transform technique." Physical and Engineering Sciences in Medicine. 37 (4), pp. 723-730. https://doi.org/10.1007/s13246-014-0309-2
Increasing CO2 threatens human nutrition
Myers, Samuel S., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold, Carlisle, Eli, Dietterich, Lee H., Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, Tausz, Michael and Usui, Yasuhiro. 2014. "Increasing CO2 threatens human nutrition." Nature. 510 (7503), pp. 139-142. https://doi.org/10.1038/nature13179
Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree
Wang, Shuaifang, Li, Yan, Wen, Peng and Zhu, Guohun. 2014. "Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree." Zhang, Teresa (ed.) 6th International Conference on Signal Processing Systems (ICSPS 2014). Dubai, United Arab Emirates 08 - 10 Dec 2014 Rowland Heights, CA. United States. https://doi.org/10.12720/ijsps
Analysis of epileptic EEG signals with simple random sampling J48 algorithm
Wang, Shuaifang, Zhu, Guohun, Li, Yan, Wen, Peng and Song, Bo. 2014. "Analysis of epileptic EEG signals with simple random sampling J48 algorithm." International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB). 4 (2), pp. 78-81. https://doi.org/10.7763/IJBBB.2014.V4.314
Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?
Tausz-Posch, Sabine, Dempsey, Raymond W., Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn and Tausz, Michael. 2015. "Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?" European Journal of Agronomy. 64, pp. 21-28. https://doi.org/10.1016/j.eja.2014.12.009
Orthogonal Basis Extreme Learning Algorithm and Function Approximation
Li, Ying, Li, Yan and Wan, Xiangkui. 2015. "Orthogonal Basis Extreme Learning Algorithm and Function Approximation ." 12th International Symposium of Neural Networks (ISNN 2015). Jeju, Korea 15 - 18 Oct 2015 Switzerland . Springer. https://doi.org/10.1007/978-3-319-25393-0_39
An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer
Li, Yan, Rad, A. B. and Wen, Peng. 1999. "An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer." Neural Computing and Applications. 8, pp. 218-225.
A cascading structure and training method for multilayer neural network
Li, Yan and Rad, A. B.. 1997. "A cascading structure and training method for multilayer neural network." International Journal of Neural Systems. 8 (5/6), pp. 509-515. https://doi.org/10.1142/S0129065797000495
Intraspecific variation in growth and yield response to elevated CO2 in wheat depends on the differences of leaf mass per unit area
Thilakarathne, Chamindathee L., Tausz-Posch, Sabine, Cane, Karen, Norton, Robert M., Tausz, Michael and Seneweera, Saman. 2013. "Intraspecific variation in growth and yield response to elevated CO2 in wheat depends on the differences of leaf mass per unit area ." Functional Plant Biology: an international journal of plant function. 40 (2), pp. 185-194. https://doi.org/10.1071/FP12057
Effect of fertilization on forage yield and quality, nutrients uptake and soil properties in the more intensive cropping system
Li, Wen Xi, Lu, Jian Wei, Seneweera, Saman P., Chen, Fang, Lu, Jun Ming and Li, Xiao Kun. 2010. "Effect of fertilization on forage yield and quality, nutrients uptake and soil properties in the more intensive cropping system ." Journal of Food, Agriculture and Environment. 8 (2), pp. 427-434.
Release of antimicrobial peptides through bromelain hydrolysis of leatherjacket (Meuchenia sp.) insoluble proteins
Salampessy, Junus, Phillips, Michael, Seneweera, Saman and Kailasapathy, Kasipathy. 2010. "Release of antimicrobial peptides through bromelain hydrolysis of leatherjacket (Meuchenia sp.) insoluble proteins ." Food Chemistry. 120 (2), pp. 556-560. https://doi.org/10.1016/j.foodchem.2009.10.054
Microencapsulated enzymes from Aspergillus oryzae accelerate cheddar cheese ripening and enrich biologically active peptide profile
Seneweera, Saman and Kailasapathy, Kasipathy. 2010. "Microencapsulated enzymes from Aspergillus oryzae accelerate cheddar cheese ripening and enrich biologically active peptide profile ." Australian Journal of Dairy Technology. 65 (3), pp. 174-177.
Reduced nitrogen allocation to expanding leaf blades suppresses ribulose-1,5-bisphosphate carboxylase/oxygenase synthesis and leads to photosynthetic acclimation to elevated CO2 in rice
Seneweera, S.. 2011. "Reduced nitrogen allocation to expanding leaf blades suppresses ribulose-1,5-bisphosphate carboxylase/oxygenase synthesis and leads to photosynthetic acclimation to elevated CO2 in rice ." Photosynthetica. 49 (1), pp. 145-148. https://doi.org/10.1007/s11099-011-0006-2
Effects of elevated CO2 on plant growth and nutrient partitioning of rice (Oryza sativa L.) at rapid tillering and physiological maturity
Seneweera, Saman. 2011. "Effects of elevated CO2 on plant growth and nutrient partitioning of rice (Oryza sativa L.) at rapid tillering and physiological maturity ." Journal of Plant Interactions. 6 (1), pp. 35-42. https://doi.org/10.1080/17429145.2010.513483
New insight into photosynthetic acclimation to elevated CO2: the role of leaf nitrogen and ribulose-1,5-bisphosphate carboxylase/oxygenase content in rice leaves
Seneweera, Saman, Makino, Amane, Hirotsu, Naoki, Norton, Robert and Suzuki, Yuji. 2011. "New insight into photosynthetic acclimation to elevated CO2: the role of leaf nitrogen and ribulose-1,5-bisphosphate carboxylase/oxygenase content in rice leaves ." Environmental and Experimental Botany. 71 (2), pp. 128-136. https://doi.org/10.1016/j.envexpbot.2010.11.002
Impact of microencapsulated peptidase (Aspergillus oryzae) on cheddar cheese proteolysis and its biologically active peptide profile
Seneweera, Saman and Kailasapathy, Kaila. 2011. "Impact of microencapsulated peptidase (Aspergillus oryzae) on cheddar cheese proteolysis and its biologically active peptide profile ." Protein and Peptide Letters: international journal for rapid publication of short papers in protein and peptide science. 18 (7), pp. 741-746. https://doi.org/10.2174/092986611795446076
Effect of elevated carbon dioxide on growth and nitrogen fixation of two soybean cultivars in northern China
Lam, Shu Kee, Hao, Xingyu, Lin, Erda, Han, Xue, Norton, Rob, Mosier, Arvin R., Seneweera, Saman and Chen, Deli. 2012. "Effect of elevated carbon dioxide on growth and nitrogen fixation of two soybean cultivars in northern China ." Biology and Fertility of Soils. 48 (5), pp. 603-606. https://doi.org/10.1007/s00374-011-0648-z
Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?
Tausz-Posch, Sabine, Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn J. and Tausz, Michael. 2012. "Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?" Field Crops Research. 133, pp. 160-166. https://doi.org/10.1016/j.fcr.2012.04.007
Improving yield potential in crops under elevated CO2: integrating the photosynthetic and nitrogen utilization efficiencies
Kant, Surya, Seneweera, Saman, Rodin, Joakim, Materne, Michael, Burch, David, Rothstein, Steven J. and Spangenberg, German. 2012. "Improving yield potential in crops under elevated CO2: integrating the photosynthetic and nitrogen utilization efficiencies ." Frontiers in Plant Science. 3, pp. 1-9. https://doi.org/10.3389/fpls.2012.00162
Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn and Seneweera, Saman. 2012. "Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain." Food Chemistry. 133 (4), pp. 1307-1311. https://doi.org/10.1016/j.foodchem.2012.01.105
Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Walker, Cassandra, Stangoulis, James and Seneweera, Saman. 2012. "Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system ." Journal of Cereal Science. 56 (3), pp. 684-690. https://doi.org/10.1016/j.jcs.2012.07.010
Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations
Tausz, Michael, Tausz-Posch, Sabine, Norton, Robert M., Fitzgerald, Glenn J., Nicolas, Marc E. and Seneweera, Saman. 2013. "Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations ." Environmental and Experimental Botany. 88, pp. 71-80. https://doi.org/10.1016/j.envexpbot.2011.12.005
The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study
Tausz-Posch, Sabine, Borowiak, Klaudia, Dempsey, Raymond W., Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study." Environmental and Experimental Botany. 88, pp. 81-92. https://doi.org/10.1016/j.envexpbot.2011.12.002
Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study
Tausz-Posch, Sabine, Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study." Physiologia Plantarum. 148 (2), pp. 232-245. https://doi.org/10.1111/j.1399-3054.2012.01701.x
Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Nicolas, Marc E. and Seneweera, Saman. 2014. "Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments." Journal of Cereal Science. 59 (2), pp. 137-144. https://doi.org/10.1016/j.jcs.2013.12.002
Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Neumann, Nathan, Fitzgerald, Glenn J. and Seneweera, Saman. 2014. "Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions." Agriculture, Ecosystems and Environment. 185, pp. 24-33. https://doi.org/10.1016/j.agee.2013.11.023
Epileptogenic focus detection in intracranial EEG based on delay permutation entropy
Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Xi, Min. 2013. "Epileptogenic focus detection in intracranial EEG based on delay permutation entropy." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) International Symposium on Computational Models for Life Sciences (CMLS 2013). Sydney, Australia 27 - 29 Nov 2013 United States. AIP Publishing. https://doi.org/10.1063/1.4824993
An improved chaos method for monitoring the depth of anaesthesia
Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2013. "An improved chaos method for monitoring the depth of anaesthesia." Duc, Nguyen Minh and BenLetaief, Khaled (ed.) International Conference on Computing, Management and Telecommunications (ComManTel 2013). Ho Chi Minh City, Vietnam 21 - 24 Jan 2013 United States. https://doi.org/10.1109/ComManTel.2013.6482413
Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm
Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Zhong, Ning. 2013. "Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm." Imamura, Kazayuki, Usui, Shiro, Shirao, Tomoaki, Kasamatsu, Takuji, Schwabe, Lars and Zhong, Ning (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. Springer. https://doi.org/10.1007/978-3-319-02753-1_16
Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals
Nguyen-Ky, Tai, Wen, Peng (Paul) and Li, Yan. 2013. "Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals." IEEE Transactions on Biomedical Engineering. 60 (6), pp. 1488-1498. https://doi.org/10.1109/TBME.2012.2236649
Identification of motor imagery tasks through CC–LR algorithm in brain computer interface
Li, Yan and Wen, Peng. 2013. "Identification of motor imagery tasks through CC–LR algorithm in brain computer interface." International Journal of Bioinformatics Research and Applications. 9 (2), pp. 156-172. https://doi.org/10.1504/IJBRA.2013.052447
Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
Li, Yan and Wen, Peng (Paul). 2014. "Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification." Biomedical Engineering: Applications, Basis and Communications. 26 (3), pp. 1-10. https://doi.org/10.4015/S1016237214500409
Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2013. "Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia." International Journal of Emerging Trends in Signal Processing. 1 (2), pp. 1-8.
Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China
Qu, Jiansheng, Zeng, Jingjing, Li, Yan, Wang, Qin, Maraseni, Tek, Zhang, Lihua, Zhang, Zhiqiang and Clarke-Sather, Abigail. 2013. "Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China." Energy Policy. 57, pp. 133-140. https://doi.org/10.1016/j.enpol.2012.12.065
Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment
Li, Mao, Li, Yan and Wen, Peng (Paul). 2014. "Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 17 (4), pp. 334-343. https://doi.org/10.1080/10255842.2012.683428
An efficient visibility graph similarity algorithm and its application for sleep stages classification
Zhu, Guohun, Li, Yan and Wen, Peng Paul. 2012. "An efficient visibility graph similarity algorithm and its application for sleep stages classification." Zanzotto, Fabio Massimo, Tsumoto, Shusaku, Taatgen, Niels and Yao, Yiyu (ed.) 2012 International Conference on Brain Informatics (BI 2012). Macau, China 04 - 07 Dec 2012 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-35139-6_18
Analysing epileptic EEGs with a visibility graph algorithm
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2012. "Analysing epileptic EEGs with a visibility graph algorithm." Chen, Qianbin, Huan, Jun (Luke), Xu, Yong, Zhang, Tianqi and Wang, Lipo (ed.) 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012). Chongqing, China 16 - 18 Oct 2012 Piscataway, NJ. United States. https://doi.org/10.1109/BMEI.2012.6513212
Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Malan, Mel. 2012. "Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques." Computers in Biology and Medicine. 42 (6), pp. 680-691. https://doi.org/10.1016/j.compbiomed.2012.03.004
Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
Siuly, Siuly and Li, Yan. 2012. "Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20 (4), pp. 526-538. https://doi.org/10.1109/TNSRE.2012.2184838
EEG data compression to monitor DoA in telemedicine
Palendeng, Mario E., Zhang, Qing, Pang, Chaoyi and Li, Yan. 2012. "EEG data compression to monitor DoA in telemedicine." Studies in Health Technology and Informatics. 178, pp. 163-8. https://doi.org/10.3233/978-1-61499-078-9-163
Tumor-induced effects on PO2 distribution in a normal tissue
Li, Mao, Li, Yan and Wen, Peng (Paul). 2012. "Tumor-induced effects on PO2 distribution in a normal tissue." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211594
BMICA-independent component analysis based on B-spline mutual information estimator
Walters-Williams, Janett and Li, Yan. 2012. "BMICA-independent component analysis based on B-spline mutual information estimator." Signal and Image Processing. 3 (2), pp. 33-52. https://doi.org/10.5121/sipij.2012.3203
Distance education platform for effective learning in computer networking courses
Lai, David, Venkatakrishnan, Vijayakrishnan and Li, Yan. 2012. "Distance education platform for effective learning in computer networking courses." Wang, Chih-Chien (ed.) 2012 International Conference on Applied and Theoretical Information Systems Research (ATISR 2012). Taipei, Taiwan 10 - 12 Feb 2012 Taipei, Taiwan.
Measuring and reflecting depth of anesthesia using wavelet and power spectral density
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Gray, Robert. 2011. "Measuring and reflecting depth of anesthesia using wavelet and power spectral density." IEEE Transactions on Information Technology in Biomedicine. 15 (4), pp. 630-639. https://doi.org/10.1109/TITB.2011.2155081
Developing a logistic regression model with cross-correlation for motor imagery signal recognition
Li, Yan, Wu, Jinglong and Yang, Jingjing. 2011. "Developing a logistic regression model with cross-correlation for motor imagery signal recognition." 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876793
Clustering technique-based least square support vector machine for EEG signal classification
Siuly, S., Li, Yan and Wen, Peng (Paul). 2011. "Clustering technique-based least square support vector machine for EEG signal classification." Computer Methods and Programs in Biomedicine. 104 (3), pp. 358-372. https://doi.org/10.1016/j.cmpb.2010.11.014
Twin rotor system modelling de-coupling and optimal control
Wen, Peng and Li, Yan. 2011. "Twin rotor system modelling de-coupling and optimal control." ICMA 2011: IEEE International Conference on Mechatronics and Automation. Beijing, China 07 - 10 Aug 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICMA.2011.5986259
Improving the performance of translation wavelet transform using BMICA
Walters-Williams, Janett and Li, Yan. 2011. "Improving the performance of translation wavelet transform using BMICA." International Journal of Computer Science and Information Security. 9 (6), pp. 48-56.
Evaluating functional connectivity in alcoholics based on maximal weight matching
Zhu, Guohun, Li, Yan and Wen, Peng. 2011. "Evaluating functional connectivity in alcoholics based on maximal weight matching." Journal of Advanced Computational Intelligence and Intelligent Informatics. 15 (9), pp. 1221-1227.
Performance comparison of known ICA algorithms to a wavelet-ICA merger
Walters-Williams, Janett and Li, Yan. 2011. "Performance comparison of known ICA algorithms to a wavelet-ICA merger." Signal Processing: An International Journal. 5 (3), pp. 80-92.
A new approach to denoising EEG signals - merger of translation invariant wavelet and ICA
Walters-Williams, Janett and Li, Yan. 2011. "A new approach to denoising EEG signals - merger of translation invariant wavelet and ICA." International Journal of Biometrics and Bioinformatics (IJBB). 5 (2), pp. 130-148.
EEG signal classification based on simple random sampling technique with least square support vector machine
Li, Yan and Wen, Peng. 2011. "EEG signal classification based on simple random sampling technique with least square support vector machine." International Journal of Biomedical Engineering and Technology. 7 (4), pp. 390-409. https://doi.org/10.1504/IJBET.2011.044417
Comparative Study of Distance Functions for Nearest Neighbors
Walters-Williams, Janett and Li, Yan. 2010. "Comparative Study of Distance Functions for Nearest Neighbors." Elleithy, Khaled (ed.) 2008 International Conference on Systems, Computing Sciences and Software Engineering (SCSS 08). Online Netherlands. pp. 79-84 https://doi.org/10.1007/978-90-481-3660-5_14
M-service and its framework
Sun, Lili, Li, Yan and Wang, Hua. 2005. "M-service and its framework." 11th Asia-Pacific Conference on Communications. Perth, Australia 03 - 05 Oct 2005 United States. https://doi.org/10.1109/APCC.2005.1554180
Classification of EEG signals using sampling techniques and least square support vector machines
Li, Yan and Wen, Peng. 2009. "Classification of EEG signals using sampling techniques and least square support vector machines." Wen, Peng (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_47
EEG analysis on skull conductivity perturbations using realistic head model
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2009. "EEG analysis on skull conductivity perturbations using realistic head model." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_26
Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points - A Review
Zou, Weibao, Li, Yan, Li, Zhilin and Ding, Xiaoli. 2009. "Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points - A Review." Sensors. 9 (2), pp. 1259-1281. https://doi.org/10.3390/s90201259
Minimum packet drop sequences based networked control system model with embedded Markov chain
Wen, Peng and Li, Yan. 2009. "Minimum packet drop sequences based networked control system model with embedded Markov chain." Simulation Modelling Practice and Theory. 17 (10), pp. 1635-1641. https://doi.org/10.1016/j.simpat.2009.07.003
Protecting disseminative information in e-learning
Sun, Lili, Wang, Hua and Li, Yan. 2008. "Protecting disseminative information in e-learning." Leung, Howard, Li, Frederick, Lau, Rynson and Li, Qing (ed.) ICWL 2007: 6th International Conference on Web-Based Learning . Edinburgh, United Kingdom 15 - 17 Aug 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78139-4_49
Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation." Computers in Biology and Medicine. 39 (1), pp. 40-45. https://doi.org/10.1016/j.compbiomed.2008.10.007
Effects of white matter on EEG of multi-layered spherical head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Effects of white matter on EEG of multi-layered spherical head models." Hoque, Aminul and Choudhury, Mohammad (ed.) 5th International Conference on Electrical and Computer Engineering (ICECE 2008). Dhaka, Bangladesh 20 - 22 Dec 2008 Bangladesh. https://doi.org/10.1109/ICECE.2008.4769173
A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling." Karim, Mohammad (ed.) DMAI 2008: 1st IEEE International Workshop on Data Mining and Artificial Intelligence. Khulna, Bangladesh 24 - 27 Dec 2008 Bangladesh. https://doi.org/10.1109/ICCITECHN.2008.4803103
Tension control of a winding machine for rectangular coils
Wen, Peng, Stapleton, Cary and Li, Yan. 2008. "Tension control of a winding machine for rectangular coils." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 United States. https://doi.org/10.1109/ICARCV.2008.4795843
A case study using neural networks algorithms: horse racing predictions in Jamaica
Williams, Janett and Li, Yan. 2008. "A case study using neural networks algorithms: horse racing predictions in Jamaica." Arabnia, Hamid R. and Mun, Yougsong (ed.) ICAI 2008: International Conference on Artificial Intelligence. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.
Influence of white matter inhomogeneous anisotropy on EEG forward computing
Bashar, R., Li, Y. and Wen, P.. 2008. "Influence of white matter inhomogeneous anisotropy on EEG forward computing." Physical and Engineering Sciences in Medicine. 31 (2), pp. 122-130. https://doi.org/10.1007/BF03178586
XML and web services security
Sun, Lili and Li, Yan. 2008. "XML and web services security." CSCWD 2008: 12th International Conference on Computer Supported Cooporative Work in Design. Xi'an, China 16 - 18 Apr 2008 Piscataway, NJ, USA. https://doi.org/10.1109/CSCWD.2008.4537075
Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification
Zou, Weibao, Li, Yan and Tang, Arthur. 2009. "Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification." Neural Computing and Applications. 18 (3), pp. 249-260. https://doi.org/10.1007/s00521-008-0177-3
Image classification using wavelet coefficients in low-pass bands
Zou, Weibao and Li, Yan. 2007. "Image classification using wavelet coefficients in low-pass bands." Si, Jennie (ed.) 2007 International Joint Conference on Neural Networks (IJCNN). Orlando, United States of America 12 - 17 Aug 2007 United States. https://doi.org/10.1109/IJCNN.2007.4370940
Leaf vein extraction using independent component analysis
Li, Yan, Chi, Zheru and Feng, David. 2006. "Leaf vein extraction using independent component analysis." Lee, Tsu-Tian (ed.) 2006 IEEE International Conference on Systems, Man and Cybernetics. Taiwan 08 - 11 Oct 2006 Taiwan. https://doi.org/10.1109/ICSMC.2006.384738
Improvement of image classification with wavelet and independent component analysis (ICA) based on a structured neural network
Zou, Weibao, Li, Yan, Lo, King Chuen and Chi, Zheru. 2006. "Improvement of image classification with wavelet and independent component analysis (ICA) based on a structured neural network." Yen, Gary (ed.) 2006 International Joint Conference on Neural Networks (IJCNN). Vancouver, Canada United States. https://doi.org/10.1109/IJCNN.2006.246915
Using invariant translation to denoise electroencephalogram signals
Walters-Williams, Janett and Li, Yan. 2011. "Using invariant translation to denoise electroencephalogram signals." American Journal of Applied Sciences. 8 (11), pp. 1122-1130. https://doi.org/10.3844/ajassp.2011.1122.1130
Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling." Physical and Engineering Sciences in Medicine. 33 (2), pp. 145-152. https://doi.org/10.1007/s13246-010-0015-7
Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_44
Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method." Biomedical Signal Processing and Control. 5 (1), pp. 59-65. https://doi.org/10.1016/j.bspc.2009.03.001
A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing
Bashar, M. R., Li, Y. and Wen, P.. 2010. "A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing." Physical and Engineering Sciences in Medicine. 33 (1), pp. 11-21. https://doi.org/10.1007/s13246-010-0009-5
De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients
Nguyen-Ky, T., Wen, Peng, Li, Yan and Gray, Robert. 2010. "De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients." 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 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558834
Cooperative education in USQ networking programs with leading industry organisation and service to South-East Queensland regional IT professional
Li, Yan. 2010. "Cooperative education in USQ networking programs with leading industry organisation and service to South-East Queensland regional IT professional." Cater-Steel, Aileen and Cater, Emily (ed.) Women in engineering, science and technology: education and career challenges. Hershey, PA, United States. IGI Global. pp. 227-231
Effects of local tissue conductivity on spherical and realistic head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2010. "Effects of local tissue conductivity on spherical and realistic head models." Physical and Engineering Sciences in Medicine. 33 (3), pp. 233-242. https://doi.org/10.1007/s13246-010-0027-3
An improved detrended moving-average method for monitoring the depth of anesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "An improved detrended moving-average method for monitoring the depth of anesthesia." IEEE Transactions on Biomedical Engineering. 57 (10), pp. 2369-2378. https://doi.org/10.1109/TBME.2010.2053929
Access control method with XML databases
Sun, Lili, Li, Yan and Wang, Hua. 2011. "Access control method with XML databases." Wang, John (ed.) Information systems and new applications in the service sector: models and methods. Hershey, PA, USA. IGI Global. pp. 227-239
B-spline mutual information independent component analysis
Walters-Williams, Janett and Li, Yan. 2010. "B-spline mutual information independent component analysis." International Journal of Computer Science and Network Security. 10 (7), pp. 129-141.
Comparison of extended and unscented Kalman filters applied to EEG signals
Walters-Williams, Janett and Li, Yan. 2010. "Comparison of extended and unscented Kalman filters applied to EEG signals." 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 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558873
Study of EEGs from somatosensory cortex and Alzheimer's disease sources
Bashar, Md. R., Li, Yan and Wen, Peng. 2012. "Study of EEGs from somatosensory cortex and Alzheimer's disease sources." International Journal of Biological and Life Sciences. 8 (2), pp. 62-66.
Analysis and classification of EEG signals using a hybrid clustering technique
Li, Y. and Wen, P.. 2010. "Analysis and classification of EEG signals using a hybrid clustering technique." 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.2010.5558875
Effects of the local skull and spongiosum conductivities on realistic head modeling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Effects of the local skull and spongiosum conductivities on realistic head modeling." Li, Y., Yang, Jiajia, Wen, P. 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.2010.5558877
Non-layered human head model for EEG
Wen, Peng and Li, Yan. 2003. "Non-layered human head model for EEG." IEEE EMBS Asian-Pacific Conference on Biomedical Engineering (2003). Kyoto, Japan 20 - 22 Oct 2003 Piscataway, NJ, United States.
Methods for the blind signal separation problem
Li, Yan, Wen, Peng and Powers, David. 2003. "Methods for the blind signal separation problem." ICNNSP 2003: International Conference on Neural Networks and Signal Processing. Nanjing, China 14 - 17 Dec 2003 Piscataway, NJ. United States. https://doi.org/10.1109/ICNNSP.2003.1281131
An ensemble learning algorithm for blind signal separation problem
Li, Yan and Wen, Peng. 2005. "An ensemble learning algorithm for blind signal separation problem." 2005 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005). Vienna, Austria 28 - 30 Nov 2005 Washington, DC, united States.
Estimation of mutual information: a survey
Walters-Williams, Janett and Li, Yan. 2009. "Estimation of mutual information: a survey." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_49
Using usage control to access XML databases
Sun, Lili and Li, Yan. 2009. "Using usage control to access XML databases." International Journal of Information Systems in the Service Sector. 1 (3), pp. 32-44.
Modified detrended fluctuation analysis method in depth of anesthesia assessment application
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2008. "Modified detrended fluctuation analysis method in depth of anesthesia assessment application." Arabnia, Hamid R. (ed.) BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.
Tissue conductivity anisotropy inhomogeneity study in EEG head modelling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Tissue conductivity anisotropy inhomogeneity study in EEG head modelling." BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.
Service-mining based on knowledge and customer databases
Li, Yan, Wen, Peng, Wang, Hu and Gong, Chunqiang. 2007. "Service-mining based on knowledge and customer databases." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_63
XML schema in XML documents with usage control
Sun, Lili and Li, Yan. 2007. "XML schema in XML documents with usage control." International Journal of Computer Science and Network Security. 7 (10), pp. 170-177.
MR brain image segmentation based on self-organizing map network
Li, Yan and Chi, Zheru. 2005. "MR brain image segmentation based on self-organizing map network." International Journal of Information Technology. 11 (8), pp. 45-53.
XML undeniable signatures
Sun, Lili and Li, Yan. 2005. "XML undeniable signatures." Mohammadian, M. (ed.) International Conference on Intelligent Agents, Web Technologies & Internet Commerce (2005). Vienna, Austria 28 - 30 Nov 2005 USA.
Comparison of blind source separation algorithms
Li, Yan, Powers, David and Peach, James. 2001. "Comparison of blind source separation algorithms." Mastorakis, Nikos E. (ed.) WSES International Conference on Neural Networks and Applications 2001. Tenerife, Spain 11 - 15 Feb 2001 Greece.
Design of high-performance networked real-time control systems
Wen, Peng, Cao, Jiannong and Li, Yan. 2007. "Design of high-performance networked real-time control systems." IET Control Theory and Applications. 1 (5), pp. 1329-1335. https://doi.org/10.1049/iet-cta:20060424
An internet based supervision control and data acquisition system with fault tolerance
Wen, Peng and Li, Yan. 2004. "An internet based supervision control and data acquisition system with fault tolerance." 2004 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2004). Gold Coast, Australia 12 - 14 Jul 2004 Washington, DC, united States.
Deadline fault tolerance in a networked real-time system
Wen, Peng and Li, Yan. 2006. "Deadline fault tolerance in a networked real-time system." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006 United States.
EEG human head modelling based on heterogeneous tissue conductivity
Wen, Peng and Li, Yan. 2006. "EEG human head modelling based on heterogeneous tissue conductivity." Professor Yogesh K Dwivedi. 29 (3), pp. 235-240.
The real-time computing model for a network based control system
Wen, Peng and Li, Yan. 2004. "The real-time computing model for a network based control system." 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004) . Kunming, China 06 - 09 Dec 2004 United States.
An approach of context ontology for robust face recognition against illumination variations
Bashar, M. Rezaul, Li, Yan and Rhee, Phill Kyu. 2007. "An approach of context ontology for robust face recognition against illumination variations." Kabir, Lutful and Hasan, Kamrul (ed.) ICICT 2007: International Conference on Information and Communication Technology. Dhaka, Bangladesh 07 - 09 Mar 2007 Dhaka, Bangladesh. https://doi.org/10.1109/ICICT.2007.375351
DTD level authorization in XML documents with usage control
Sun, Lili and Li, Yan. 2006. "DTD level authorization in XML documents with usage control." International Journal of Computer Science and Network Security. 6 (11), pp. 244-250.
Bayesian model for brain computation
Li, Yan and Wen, Peng. 2005. "Bayesian model for brain computation." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.
Service-mining Based on the Knowledge and Customer Databases
Wang, Hu, Gong, Chunqiang and Li, Yan. 2007. "Service-mining Based on the Knowledge and Customer Databases ." 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). Melbourne, Australia 11 - 13 Jul 2007 United States. https://doi.org/10.1109/ICIS.2007.165
Comparison study of different head model structures with homogeneous/inhomogeneous conductivity
Wen, P. and Li, Y.. 2001. "Comparison study of different head model structures with homogeneous/inhomogeneous conductivity." Physical and Engineering Sciences in Medicine. 24 (1), pp. 31-36. https://doi.org/10.1007/BF03178283