UniSQ’s Artificial Intelligence Applications Laboratory has a strong focus on PhD and Masters Degree by Publications:
Our Group Motto:
Sky is the Limit !
Our group’s Motto for excellence in research has resulted in publications in top quality journals.
Higher Degree Research Student Publications
Our group focuses on top (90th) percentile (D1) and 25th percentile (Q1) category journals (or equivalent influential forums) generated. These papers form a part of our HDR student’s thesis with a majority of students using them in a PhD Thesis by Publications to drive the university’s research productivity and the career success of graduates.
A list of all HDR publications, since 2017 (with the HDR student’s name in boldface) are as follows.
For a personal copy of the publication, email the group leader Professor Ravinesh Deo
[73] Madhav Acharya, Ravinesh C Deo, Xiaohui Tao, Prabal Datta Barua, Aruna Devi, nirudh Atmakuru, Ru-San Tan. (2024). Deep learning techniques for automated Alzheimer’s and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 – 2024). (2024). Computer Methods and Programs in Biomedicine. 108506. https://doi.org/10.1016/j.cmpb.2024.108506
[72] S. Islam, R. C. Deo, P. D. Barua, J. Soar, P. Yu and U. Rajendra Acharya, “Retinal health screening using artificial intelligence with digital fundus images: A review of the last decade (2012-2023),” IEEE Access, doi: 10.1109/ACCESS.2024.3477420.
[71] Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Pérez, Nawin Raj, Sancho Salcedo-Sanz. (2024). Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery. Remote Sensing Applications: Society and Environment. Volume 36, November 2024, 1013. https://doi.org/10.1016/j.rsase.2024.101333
[70] Jayasinghe, W.J.M.L.P.; Deo, R.C.; Raj, N.; Ghimire, S.; Yaseen, Z.M.; Nguyen-Huy, T.; Ghahramani, A. Forecasting Multi-Step Soil Moisture with Three-Phase Hybrid Wavelet-Least Absolute Shrinkage Selection Operator-Long Short-Term Memory Network (moDWT-Lasso-LSTM) Model. Water 2024, 16, 3133. https://doi.org/10.3390/w16213133
[69] Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz and Ghahramani, Afshin. 2024. “Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index.” Water. 16 (11). https://doi.org/https://doi.org/10.3390/w16111560. Rank Q1 – Top 25% Journal Percentiles
[68] Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. “Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model.” Applied Energy. 359. https://doi.org/10.1016/j.apenergy.2024.122624. Rank D1 – Top 10% Journal Percentiles
[67] Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. “Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model.” IEEE Access. 12, pp. 58750-58777. https://doi.org/10.1109/ACCESS.2024.3392899. Rank D1 – Top 10% Journal Percentiles
[66] Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2024. “Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback.” Sensors. 24 (10). https://doi.org/10.3390/s24102993. Rank Q1 – Top 25% Journal Percentiles
[65] Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. “Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji’s Aviation Industry.” IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091. Rank D1 – Top 10% Journal Percentiles
[64] Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Sharma, Ekta, Salcedo-Sanz, Sancho and Soar, Jeffrey. 2024. “End-to-end learning of adaptive coded modulation schemes for resilient wireless communications.” Applied Soft Computing. 159. https://doi.org/10.1016/j.asoc.2024.111672. Rank D1 – Top 10% Journal Percentiles
[63] Jafari, Pooya, Zhang, Ruoran, Huo, Siqi, Wang, Qingsheng, Yong, Jianming, Hong, Min, Deo, Ravinesh, Wang, Hao and Song, Pingan. 2024. “Machine learning for expediting next-generation of fire-retardant polymer composites.” Composites Communications. 45. https://doi.org/10.1016/j.coco.2023.101806. Rank D1 – Top 10% Journal Percentiles
[62] Tran T L, Nguyen D V, Nguyen H, Nguyen T P V, Song P, Deo Ravinesh C, … 2024. Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration. Advanced Sensor Research. https://doi.org/10.1002/adsr.202300159. Rank D1 – Top 10% Journal Percentiles
[61] Jui, S. Janifer Jabin, Deo, Ravinesh C. Deo, Barua, Prabal Datta, Devi, Aruna, Soar, Jeffrey and Acharya, U. Rajendra. 2023. “Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022).” IEEE Access. 11, pp. 71905-71924. https://doi.org/10.1109/ACCESS.2023.3294473. Rank D1 – Top 10% Journal Percentiles
[60] O’Sullivan, Cherie M., Deo, Ravinesh C. and Ghahramani, Afshin. 2023. “Explainable AI approach with original vegetation data classifies spatio-temporal nitrogen in flows from ungauged catchments to the Great Barrier Reef.” Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-45259-0. Rank D1 – Top 10% Journal Percentiles
[59] Prasad, Salvin S., Deo, Ravinesh C., Salcedo-sanz, Sancho, Downs, Nathan J., Casillas-Perez, David and Parisi, Alfio V.. 2023. “Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.” Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107737. Rank D1 – Top 10% Journal Percentiles
[58] Davey, C.P.; Shakeel, I.; Deo, R.C.; Salcedo-Sanz, S. 2023. Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. Sensors, 23, 9848. https://doi.org/10.3390/s23249848. Rank Q1 – Top 25% Journal Percentiles
[57] Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. “Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022).” Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746. Rank D1 – Top 10% Journal Percentiles
[56] Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2023. “Ampelomyces mycoparasites of powdery mildews–a review.” Canadian Journal of Plant Pathology. 45 (4), pp. 391-404. https://doi.org/10.1080/07060661.2023.2206378. Rank Q2 – Top 50% Journal Percentiles
[55] Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. “Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps.” IEEE Access. 10, pp. 119814 – 119825. https://doi.org/10.1109/ACCESS.2022.3221762. Rank D1 – Top 10% Journal Percentiles
[54] O’Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. “Pattern recognition describing spatio-temporal drivers of catchment classification for water quality.” Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240. Rank D1 – Top 10% Journal Percentiles
[53] S. Karalasingham, R. C. Deo, D. Casillas-Pérez, N. Raj and S. Salcedo-Sanz, “Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images,” in IEEE Access, vol. 11, pp. 5558-5577, 2023, https://doi.org/10.1109/ACCESS.2023.3236253. Rank D1 – Top 10% Journal Percentiles
[52] Riaz, F.; Abdulla, S.; Suzuki, H.; Ganguly, S.; Deo, R.C.; Hopkins, S. Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. Sensors 2023, 23, 2753. https://doi.org/10.3390/s23052753. Rank Q1 – Top 25% Journal Percentiles
[51] Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. “Near real-time wind speed forecast model with bidirectional LSTM networks.” Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123. Rank D1 – Top 10% Journal Percentiles
[50] Johnston, David B., Pembleton, Keith G., Huth, Neil I. and Deo, Ravinesh C.. 2023. “Comparison of machine learning methods emulating process driven crop models .” Environmental Modelling and Software. 162. https://doi.org/10.1016/j.envsoft.2023.105634. Rank D1 – Top 10% Journal Percentiles
[49] Ahmed, A. A. Masrur, Deo RC., Ghahramani A, Feng Qi, Raj N, Yin Z, Yang, L (2022) New double decomposition deep learning methods for river water level forecasting. Science of the Total Environment, 831:154722. pp. 1-21. ISSN 0048-9697. E-print Download. Rank D1 – Top 10% Journal Percentiles
[48] Prasad, Salvin S., Deo RC., Downs N, Igoe D, Parisi AV., Soar J (2022) Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access. pp. 1-18. E-print Download. Rank D1 – Top 10% Journal Percentiles
[47] Ahmed, A. A. Masrur, Sharma E, Jui, S. Janifer Jabin, Deo RC., Nguyen-Huy T, Ali M (2022) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. Remote Sensing, 45 (5):1136. pp. 1-24. E-print Download. Rank D1 – Top 10% Journal Percentiles
[46] Sharma E, Deo RC, Prasad R, Parisi A, Raj N (2022). Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots. Atmospheric Environment. 279, 119111. E-print Download. Rank D1 – Top 10% Journal Percentiles
[45] WJMLP Jayasinghe, RC Deo, A Ghahramani, S Ghimire, N Raj (2021). Development and evaluation of hybrid deep learning Long Short-Term Memory Network model for pan evaporation estimation trained with satellite and ground-based data. Journal of Hydrology. E-print Download. Rank D1 – Top 10% Journal Percentiles
[44] WJMLP Jayasinghe, RC Deo, A Ghahramani, S Ghimire, N Raj (2021). Deep multi-stage reference evapotranspiration forecasting model: Multivariate empirical mode decomposition integrated with Boruta-random forest algorithm. IEEE Access. 9, 166695-166708. E-print Download.Rank D1 – Top 10% Journal Percentiles
[43] Cherie M O’Sullivan, Afshin Ghahramani, Ravinesh C Deo, Keith Pembleton, Urooj Khan, Narendra Tuteja (2021). Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data. Science of The Total Environment. Vol 151139. E-print Download. Rank D1 – Top 10% Journal Percentiles
[41] Ahmed, A. A. Masrur and Deo, Ravinesh C. and Feng, Qi and Ghahramani, Afshin and Raj, Nawin and Yin, Zhenliang and Yang, Linshan (2021) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. Journal of Hydrology, 599:126350. pp. 1-23. ISSN 0022-1694. E-print Download. Rank D1 – Top 10% Journal Percentiles
[41] Ahmed, A. A. Masrur and Deo, Ravinesh C. and Feng, Qi and Ghahramani, Afshin and Raj, Nawin and Yin, Zhenliang and Yang, Linshan (2021) Hybrid deep learning method for a week-ahead evapotranspiration forecasting. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[40] Moishin M, Deo RC, Prasad R, Raj N, Abdulla S (2021). Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm. IEEE Access. 9. pp. 50982-50993. E-print Download. Rank D1 – Top 10% Journal Percentiles
[39] Ahmed A A Abul Masrur, Deo RC, Raj N, Gharamani A, Feng Q, Yin Z, Yang L (2021). LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios. Stochastic Environmental Research and Risk Assessment. pp. 1-31. ISSN 1436-3240. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[38] Ahmed A A Masrur, Deo RC, Raj N, Gharamani A, Feng Q, Yin Z, Yang L (2021). Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing. 13(554). E-print Download. Rank D1 – Top 10% Journal Percentiles
[37] Rosa E Prahl, S Khan, RC Deo. (2021). The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces. PLoS One 16 (6), e0253772. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[36] Sharma E, Deo RC, Prasad R, Parisi A, Raj N (2020) Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks.IEEE Access, 8. pp. 209503-209516. ISSN 2169-3536. E-print Download. Rank D1 – Top 10% Journal Percentiles
[35] Bargshady G, Zhou X, Deo RC, Soar J, Whittaker F, Wang H. (2020). The modelling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. Applied Soft Computing. 97 (Part A), 106805. E-print Download. Rank D1 – Top 10% Journal Percentiles
[34] Moishin M, Deo RC, Prasad R, Raj N, Abdulla S (2020). Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji. Stochastic Environmental Research and Risk Assessment. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[33] Ali Mumtaz, Prasad Ramendra, Xiang Y, Deo RC (2020). Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms. Renewable and Sustainable Energy Reviews. 132, 110003. E-print Download. Rank D1 – Top 10% Journal Percentiles
[32] Hanan Al-Hadeethi, S Abdulla, M Diykh, Deo RC, JH Green. (2020). Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Systems with Applications, 113676. E-print Download. Rank D1 – Top 10% Journal Percentiles
[31] Bargshady Ghazal, Zhou X, Deo RC, Soar J, Whittaker F, Wang H. (2020). Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Systems with Applications. 149- 113305. E-print Download. Rank D1 – Top 10% Journal Percentiles
[30] Pham Yen, Reardon-Smith K, Deo RC (2021). Evaluating management strategies for sustainable crop production under changing climate conditions: A system dynamics approach. Journal of Environmental Management 292, 112790. E-print Download. Rank D1 – Top 10% Journal Percentiles
[29] Pham Yen, Reardon-Smith K, Mushtaq S, Deo RC (2020) Feedback modelling of the impacts of drought: a case study in coffee production systems in Viet Nam. Climate Risk Management. 30, 100255. E-print Download. Rank D1 – Top 10% Journal Percentiles
[28] Bargshady Ghazal, Zhou X, Deo RC, Soar J, Wang H, Whittaker F (2020). Ensemble neural network approach detecting pain intensity from facial expressions. Artificial Intelligence in Medicine. 101954. E-print Download. Rank D1 – Top 10% Journal Percentiles
[27] Rahmati, O., Falah, F., Dayal, Kavina, Deo RC, Mohammadi, F., Biggs, T., Moghaddam, D. D., Naghibi, S. A., & Bui, D. T (2020). Machine learning approaches for spatial modeling of agricultural droughts in south-east region of Queensland Australia. Science of the Total Environment. 699, 134230. E-print Download. Rank D1 – Top 10% Journal Percentiles
[26] Sharma Ekta, Deo RC, Prasad R, Parisi AV. (2020) A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms. Science of the Total Environment, 709 (Article 135934). E-print Download. Rank D1 – Top 10% Journal Percentiles
[25] Huynh, Anh (Ella). .-L., Deo, R.C.; An-Vo, D.-A.; Ali, M.; Raj, N.; Abdulla, S. (2021). Novel short-term solar radiation hybrid model: Long short-term memory network integrated with robust local mean decomposition. Applied Energy 298, 117193. E-print Download. Rank D1 – Top 10% Journal Percentiles
[24] Huynh, Anh (Ella). .-L., Deo, R.C.; An-Vo, D.-A.; Ali, M.; Raj, N.; Abdulla, S. (2020). Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network. Energies 2020, 13, 3517. E-print Download. Rank D1 – Top 10% Journal Percentiles
[23] Ghimire Sujan, Deo RC, Raj N and Mi J. (2019). Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction. Renewable & Sustainable Energy Reviews. 113, 109247. E-print Download. Rank D1 – Top 10% Journal Percentiles
[22] Al-Musaylh Mohanad, Deo RC, Adamowski JF, Li Y. (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 & Sustainable Energy Reviews. E-print Download, Rank D1 – Top 10% Journal Percentiles
[21] Ghimire Sujan, Deo RC, Downs N, Raj N. (2019). Global solar radiation prediction by ANN integrated with European Centre for Medium Range Weather Forecast Fields in Solar Rich Cites of Queensland Australia. Journal of Cleaner Production.216, 288 – 310. E-print Download. Rank D1 – Top 10% Journal Percentiles
[20] Ali Mumtaz, Deo RC, Marseni Tm, Down NJ (2019). Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms. Journal of Hydrology. 576, 164-184. E-print Download. Rank D1 – Top 10% Journal Percentiles
[19] Prasad Ramendra, Li Y and Maraseni T (2019) Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach. Catena, 77, 149-166. E-print Download. Rank D1 – Top 10% Journal Percentiles
[18] Ghimire Sujan., Deo RC, Raj N and Mi J. (2019). Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction. Energies. 12(12), 2407. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[17] Nguyen-Huy Thong, Deo RC, Mushtaq S, Kath J, Khan S. (2019). Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies. Stochastic Environmental Research & Risk Assessment, 33(3), 779–799. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[16] AL-Musaylh Mohanad, Deo RC, Li Y, Adamowski JF (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, 422 – 439. E-print Download. Rank D1 – Top 10% Journal Percentiles
[15] Salcedo-Sanz S., Deo RC, Cornejo-Bueno L., Camacho-Gomez C., Ghimire Sujan. (2017). An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in Sunshine State of Australia. Applied Energy. 209(79-94). E-print Download. Rank D1 – Top 10% Journal Percentiles
[14] Ghimire Sujan, Deo RC, Downs N, Raj N (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. 212 (176-198). E-print Download. Rank D1 – Top 10% Journal Percentiles
[13] Nguyen Thong, Deo RC, et al. (2018). Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management. Weather and Climate Extremes. 21, 76-89. E-print Download. Rank D1 – Top 10% Journal Percentiles
[12] Ali Mumtaz, Deo RC, Downs N, Maraseni T (2018). Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach. Agricultural and Forest Meteorology, 263, 428-443. E-print Download. Rank D1 – Top 10% Journal Percentiles
[11] Prasad Ramendra, Deo RC, Li Y and Maraseni T. (2018). Soil moisture forecasting using hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition. Geoderma. 330, 136 – 161. E-print Download. Rank D1 – Top 10% Journal Percentiles
[10] Ali Mumtaz, Deo RC, Downs NJ, Maraseni TN. (2018). An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index. Atmospheric Research. 207(155-180). E-print Download. Rank D1 – Top 10% Journal Percentiles
[9] Ali Mumtaz, Deo RC, Downs N, Maraseni T (2018) Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting. Atmospheric Research, 213, 450-464. E-print Download. Rank D1 – Top 10% Journal Percentiles
[8] Nguyen Thong, Deo RC, Mushtaq S, Khan S & Duc-Anh (2018). Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach. European Journal of Agronomy. 98, 65-81. E-print Download. Rank D1 – Top 10% Journal Percentiles
[7] Prasad Ramendra, Deo RC, et al. (2018). Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors. Soil and Tillage Research. 181, 63-81. E-print Download Rank D1 – Top 10% Journal Percentiles
[6] Al-Musaylh Mohanad, Deo RC, Adamowski JF, Li Y (2018). Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Advanced Engineering Informatics. 35(1-16). E-print Download. Rank D1 – Top 10% Journal Percentiles
[5] Ali Mumtaz, Deo RC, Downs NJ, Maraseni TN. (2018). Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Computers and Electronics in Agriculture, 152, 149-165. E-print Download. Rank D1 – Top 10% Journal Percentiles
[4] Dayal Kavina, Deo RC, Apan A. (2018). Spatio-temporal drought-risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia. Natural Hazards. 93, 823-847. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[3] Dayal Kavina, Deo RC, Apan A. (2018). Investigating drought duration-severity-intensity characteristics using the Standardised Precipitation-Evapotranspiration Index: case studies in drought-prone southeast Queensland. Journal of Hydrologic Engineering, 23 (1). 05017029. E-print Download. Rank Q1 – Top 25% Journal Percentiles
[2] Prasad Ramendra., Deo RC, et al. (2017). Input selection and performance optimization of ANN-based streamflow forecasting in a drought-prone Murray Darling Basin with IIS and MODWT. Atmospheric Research. 197, 42-63. E-print Download. Rank D1 – Top 10% Journal Percentiles
[1] Thong Huy Nguyen, Deo RC, et al. (2017). Copula-statistical precipitation forecasting model in Australia’s Agro-ecological Zones. Agricultural Water Management. 191, 153-172. E-print Download. Rank D1 – Top 10% Journal Percentiles
HDR Student Thesis
[24] Joseph, Lionel Prakash. 2024. Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7967, BEST THESIS AWARD
[23] Shiveel Raj. 2024. Atmospheric Visibility And Cloud Cover Forecasting With Novel Artificial Intelligence Methods For Fiji’s Aviation Sector. Master by Publication, Master of Research. University of Southern Queensland
[22] Prasad, Salvin Sanjesh. 2023. Solar ultraviolet radiation predictions under cloud cover effects with artificial intelligence approaches. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z3qq0, BEST THESIS AWARD
[21] O’Sullivan, Cherie. 2023. Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from ungauged catchments to the Great Barrier Reef. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6206, BEST THESIS AWARD
[20] Riaz, Farina. 2023. Coloured image classification with quantum machine learning algorithms for intelligent transportation systems. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z014z
[19] Jayasinghe Mudiyanselage, W.J.M. Lakmini Prarthana. 2023. Evaporation and soil moisture prediction with artificial intelligence and deep learning methods. PhD by Publication Doctor of Philosophy. University of Southern Queensland. BEST THESIS AWARD
[18] Al-Musaylh, Mohanad Shakir Khalid. 2020. Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7tb-4754, BEST THESIS AWARD
[17] Ahmed, Abul Abrar Masrur. 2022. Development of Deep Learning Hybrid Models for Hydrological Predictions. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q5z, BEST THESIS AWARD
[16] Sharma, Ekta. 2022. Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q7w, BEST THESIS AWARD
[15] Johnston, David B.. 2022. Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q78
[14] Prahl, Rosa Esther. 2022. Nuclear ribosomal DNA secondary structures and statistical approach for the phylogeny of Ampelomyces. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q98
[13] 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
[12] Pham, Yen Hoang. 2021. An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/dbty-kn67
[11] Moishin, Mohammed. 2021. Development of flood risk monitoring and forecasting system with artificial intelligence predictive models for community risk management in Fiji. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/zwww-vw94
[10] Bargshady, Ghazal. 2020. Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kjka-n867
[9] Huynh, Anh Ngoc Lan. 2020. Development of deep learning predictive models for short-term solar radiation forecasting: case study in Vietnam. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/gx6d-tc14
[8] Kumie, Tobias. 2020. Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/tr73-nb90
[7] Neupane, Ananta. 2018. Development and Comparison of Data-driven Models for Wind Speed Forecasting in Australia. Masters Thesis. Master of Research. University of Southern Queensland.
[6] Ghimire, Sujan. 2019. Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/9he0-h328, BEST THESIS AWARD
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