School of Mathematics, Physics and Computing
| Type | Department/Institute |
|---|---|
| Faculty/Department | Academic Affairs |
| Head | Prof Robert Sang |
| Director of Research | Dr Nawin Raj |
| Prof Yan Li |
Latest research outputs
3984 results found
Sort by Date Title
Dynamics of particles and bubbles under the action of acoustic radiation force
Ostrovsky, Lev A. and Stepanyants, Yury A.. 2018. "Dynamics of particles and bubbles under the action of acoustic radiation force." Edelman, Mark, Macau, Elbert E. N. and Sanjuan, Miguel A. F. (ed.) Chaotic, fractional, and complex dynamics: New insights and perspectives. Germany. Springer. pp. 205-230Edited book (chapter)
Antraff traffic analysis software user manual, June 11, 2018
Addie, Ron and Albdair, Mostfa. 2018. Antraff traffic analysis software user manual, June 11, 2018. Toowoomba, Australia. University of Southern Queensland.Manual/Instructions
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.2017.0140Article
Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198Edited book (chapter)
The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America
Downs, Nathan J., Garzon Chavez, Daniel R., Quentin, Emmanuelle, Harrison, Simone L., Parisi, Alfio V. and Butler, Harry. 2018. "The inverse relationship between the incidence of solar induced eye disease and reported skin cancer rates at high elevation in the tropical Andes, Ecuador, South America." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018 Canada.Presentation
The Garment Protection Factor (GPF): an index for sun-protective clothing that combines garment coverage and UVR transmittance
Harrison, Simone L., Downs, Nathan J., Rawlings, Alex T. and Parisi, Alfio V.. 2018. "The Garment Protection Factor (GPF): an index for sun-protective clothing that combines garment coverage and UVR transmittance." 4th International Conference on UV & Skin Cancer Prevention 2018. Toronto, Canada 01 - 04 May 2018 Canada.Paper
Preface - Proceedings of the 2017 IEEE/WIC/ACM international conference on web intelligence
Alt, Rainer, Tao, Xiaohui and Unland, Rainer. 2017. "Preface - Proceedings of the 2017 IEEE/WIC/ACM international conference on web intelligence." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States.Paper
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012Article
Modeling of Bose–Einstein condensation in a water tank
Rousseaux, Germain and Stepanyants, Yury. 2018. "Modeling of Bose–Einstein condensation in a water tank." Abcha, Nizar, Pelinovsky, Efim and Mutabazi, Innocent (ed.) Nonlinear waves and pattern dynamics. Cham, Switzerland. Springer. pp. 91-102Edited book (chapter)
Knowing when to target students with timely academic learning support: not a minefield with data mining
McCarthy, Elizabeth. 2017. "Knowing when to target students with timely academic learning support: not a minefield with data mining." Partridge, H., Davis, K. and Thomas, J. (ed.) 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education (ASCILITE 2017). Toowoomba, Australia 04 - 06 Dec 2017 Toowoomba, Australia.Paper
Face-to-face and virtual mathematics enrichment for rural schools: intersection of teachers, students, technology and pedagogy
Galligan, Linda, Addie, Ron, Axelsen, Taryn and Stern, Linda. 2017. "Face-to-face and virtual mathematics enrichment for rural schools: intersection of teachers, students, technology and pedagogy." Partridge, H., Davis, K. and Thomas, J. (ed.) 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education (ASCILITE 2017). Toowoomba, Australia 04 - 06 Dec 2017 Tugun, Australia.Paper
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.mccarthyPaper
Does national investment on R&D compared to military expenditure achieve greater development?
Kabir, Enamul, Biswas, Raaj and Rafi, Refat Bin Reza. 2017. "Does national investment on R&D compared to military expenditure achieve greater development?" Melbourne International Business and Social Science Research Conference 2017. Melbourne, Australia 28 - 30 Oct 2017 Australia.Presentation
An analysis system detecting epileptic seizure from EEG
Kabir, Enamul and Wang, Hua. 2017. "An analysis system detecting epileptic seizure from EEG." 2017 Young Statisticians Conference: Modelling Our Future. Tweed Heads, Australia 26 - 27 Sep 2017 Australia.Presentation
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_6Paper
Coupling topic modelling in opinion mining for social media analysis
Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459Paper
Health behaviours and health literacy: Hepatitis B regarding Sub-Saharan African migrants living in Queensland
Majerovic, A., Mullens, A., Debattista, J., Fein, E., Gu, Z. and Siggins, F.. 2017. "Health behaviours and health literacy: Hepatitis B regarding Sub-Saharan African migrants living in Queensland." ASBHM - CHP Conference 2017. Gold Coast, Australia 13 - 15 Jul 2017 Gold Coast, Australia.Presentation
The modelling process and pre-service teacher confidence
Axelsen, Taryn, Galligan, Linda and Woolcott, Geoff. 2017. "The modelling process and pre-service teacher confidence." 40th Annual Conference of the Mathematics Education Research Group of Australasia (MERGA40). Melbourne, Australia 02 - 06 Jul 2017 Melbourne, Australia.Paper
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_51Paper
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003Article
Nutraceuticals in rodent models as potential treatments for human Inflammatory Bowel Disease
Ghattamaneni, Naga K. R., Panchal, Sunil K. and Brown, Lindsay. 2018. "Nutraceuticals in rodent models as potential treatments for human Inflammatory Bowel Disease." Pharmacological Research. 132, pp. 99-107. https://doi.org/10.1016/j.phrs.2018.04.015Article
An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024Article
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396Article
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.2018.03.021Article
Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau
Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F, Cerda, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong and Gong, Yifan. 2018. "Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 74, pp. 88-96. https://doi.org/10.1016/j.landusepol.2017.07.027Article
Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8Article
A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm
Rajaee, Taher, Ravansalar, Masoud, Adamowski, Jan F. and Deo, Ravinesh C.. 2018. "A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm." Water, Air and Soil Pollution: an international journal of environmental pollution. 229 (3). https://doi.org/10.1007/s11270-018-3715-3Article
Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions
Fallah, Seyedeh Narjes, Deo, Ravinesh Chand, Shojafar, Mohammad, Conti, Mauro and Shamshirband, Shahaboddin. 2018. "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions." Energies. 11 (3). https://doi.org/10.3390/en11030596Article
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.2018.02.140Article
Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864Article
Soliton solutions to the fifth-order Korteweg–de Vries equation and their applications to surface and internal water waves
Khusnutdinova, K. R., Stepanyants, Y. A. and Tranter, M. R.. 2018. "Soliton solutions to the fifth-order Korteweg–de Vries equation and their applications to surface and internal water waves." Physics of Fluids. 30 (2). https://doi.org/10.1063/1.5009965Article
Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB
Igoe, D. P., Parisi, A. V., Downs, N. J., Amar, A. and Turner, J.. 2018. "Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB." Sensors and Actuators A: Physical. 272, pp. 125-133. https://doi.org/10.1016/j.sna.2018.01.057Article
Decay of Benjamin–Ono solitons under the influence of dissipation
Grimshaw, Roger H., Smyth, Noel F. and Stepanyants, Yury A.. 2018. "Decay of Benjamin–Ono solitons under the influence of dissipation." Wave Motion. 78, pp. 98-115. https://doi.org/10.1016/j.wavemoti.2018.01.005Article
Scientific society journals: the publications of the Astronomical Society of Australia
Lomb, Nick. 2018. "Scientific society journals: the publications of the Astronomical Society of Australia." Historical Records of Australian Science. 29 (2), pp. 112-121. https://doi.org/10.1071/HR18002Article
Atmospheric total ozone column evaluation with a smartphone image sensor
Igoe, Damien P., Parisi, Alfio V., Amar, Abdurazaq, Downs, Nathan J. and Turner, Joanna. 2018. "Atmospheric total ozone column evaluation with a smartphone image sensor." International Journal of Remote Sensing. 39 (9), pp. 2766-2783. https://doi.org/10.1080/01431161.2018.1433895Article
Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons
Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5Article
Smartphone spectrometers
McGonigle, Andrew J. S., Wilkes, Thomas C., Pering, Tom D., Willmott, Jon R., Cook, Joseph M., Mims III, Forrest M. and Parisi, Alfio V.. 2018. "Smartphone spectrometers." Sensors. 18 (1), pp. 1-15. https://doi.org/10.3390/s18010223Article
Multi-household grazing management pattern maintains better soil fertility
Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian and Liu, Minxia. 2018. "Multi-household grazing management pattern maintains better soil fertility." Agronomy for Sustainable Development: sciences des productions vegetales et de l'environnement. 38 (1). https://doi.org/10.1007/s13593-017-0482-2Article
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.2017.11.002Article
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham and Tziritis, Evangelos. 2018. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." Science of the Total Environment. 621, pp. 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185Article
393889
total views136385
total downloads17581
views this month9265
downloads this month