Our Group's Research Outputs in Artificial Intelligence and Deep Learning - Only PhD & Masters Publications

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UniSQ's Advanced Data Analytics Group has a strong focus on PhD by Publication with papers are published in quality journals during the candidature period. Our research group focusses on Q1 journals (or equivalent influential forums) generated. These papers form a part of their 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 student's name in boldface) are as follows. To download a copy please visit USQ eprints or email the group leader Professor Ravinesh Deo		Scopus Journal Quartile Rank
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	Q1
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	Q1
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, doi: 10.1109/ACCESS.2023.3236253.	Q1
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	Q1
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	Q1
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	Q1
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	Q1 91^st percentile
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	Q1 84th percentile
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	Q1 92nd Percentile
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.	Q1 93rd Percentile
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.	Q1 96^th Percentile
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	Q1 84th percentile.
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	Q1 91^st percentile
42	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	Q1 96^th Percentile
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	Q1 87th percentile
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	Q1 84th percentile.
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	Q1 87th percentile
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	Q1 92nd percentile
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	Q1 92nd percentile
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	Q1 84th percentile
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	Q1 93rd percentile
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	Q1 87th percentile
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	Q1 98^th Percentile
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	Q1 98^th Percentile
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	Q1 98^th Percentile
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	Q1 95th percentile
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	Q1 97^th Percentile
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	Q1 87^thpercentile
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	Q1 91^st percentile
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	Q1 1^st percentile
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	Q1 99^th Percentile
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	Q1 81^st Percentile
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	Q1 96^th Percentile
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	Q1 96^th Percentile
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	Q1 96^th Percentile
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	Q1 96^th Percentile
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	Q1 95^th Percentile
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	Q1 81^ST Percentile
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	Q1 86^th Percentile
17	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	Q1 99^th Percentile
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	Q1 99^th Percentile
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. . 121 (176-198). E-print Download	Q1 99^th Percentile
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	Q1 96^th Percentile
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	Q1 98^th Percentile
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	Q1 93^rdPercentile
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	Q1 94^th Percentile
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	Q1 94^th Percentile
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	Q1 96^th Percentile
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	Q1 98^th Percentile
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	Q1 86^th Percentile
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	Q1 98^th Percentile
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	Q1 87^th Percentile
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	Q2 71^st Percentile
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	Q1 94^th Percentile
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	Q1 94^th Percentile

Publications by Graduate Students

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