Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. - Soukayna Mouatadid; Ravinesh C. Deo; Jan Franklin Adamowski (ICMLA, 2015)

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. - Mohanad S. Al-Musaylh; Ravinesh C. Deo; Jan Franklin Adamowski; Yan Li (Adv. Eng. Informatics, 2018)

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. - Zaher Mundher Yaseen; Ravinesh C. Deo; Ameer A. Hilal; Abbas M. Abd; Laura Cornejo-Bueno; Sancho Salcedo-Sanz; Moncef L. Nehdi (Adv. Eng. Softw., 2018)

Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. - Mumtaz Ali; Ravinesh C. Deo; Nathan J. Downs; Tek Maraseni (Comput. Electron. Agric., 2018)

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties. - Louis Kouadio; Ravinesh C. Deo; Vivekananda Byrareddy; Jan Franklin Adamowski; Shahbaz Mushtaq; Van Phuong Nguyen (Comput. Electron. Agric., 2018)

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. - Hadi Sanikhani; Ravinesh C. Deo; Pijush Samui; Özgür Kisi; Cihan Mert; Rasoul Mirabbasi; Siavash Gavili; Zaher Mundher Yaseen (Comput. Electron. Agric., 2018)

A Joint Deep Neural Network Model for Pain Recognition from Face. - Ghazal Bargshady; Jeffrey Soar; Xujuan Zhou; Ravinesh C. Deo; Frank Whittaker; Hua Wang 002 (ICCCS, 2019)

Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. - Mohammed Diykh; Shahab A. Abdulla; Khalid Saleh; Ravinesh C. Deo (Biomed. Signal Process. Control., 2019)

Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. - Shahab A. Abdulla; Mohammed Diykh; Raid Luaibi Laft; Khalid Saleh; Ravinesh C. Deo (Expert Syst. Appl., 2019)

Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. - Ravinesh C. Deo; Zaher Mundher Yaseen; Nadhir Al-Ansari; Thong Nguyen-Huy; Trevor Ashley Mcpherson Langlands; Linda Galligan (IEEE Access, 2020)

Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model. - Tao Hai; Ahmad Sharafati; Achite Mohammed; Sinan Q. Salih; Ravinesh C. Deo; Nadhir Al-Ansari; Zaher Mundher Yaseen (IEEE Access, 2020)

Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. - Ekta Sharma; Ravinesh C. Deo; Ramendra Prasad; Alfio V. Parisi; Nawin Raj (IEEE Access, 2020)

Ensemble neural network approach detecting pain intensity from facial expressions. - Ghazal Bargshady; Xujuan Zhou; Ravinesh C. Deo; Jeffrey Soar; Frank Whittaker; Hua Wang 002 (Artif. Intell. Medicine, 2020)

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. - Ghazal Bargshady; Xujuan Zhou; Ravinesh C. Deo; Jeffrey Soar; Frank Whittaker; Hua Wang 002 (Appl. Soft Comput., 2020)

Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. - Hanan Al-Hadeethi; Shahab A. Abdulla; Mohammed Diykh; Ravinesh C. Deo; Jonathan H. Green (Expert Syst. Appl., 2020)

Enhanced deep learning algorithm development to detect pain intensity from facial expression images. - Ghazal Bargshady; Xujuan Zhou; Ravinesh C. Deo; Jeffrey Soar; Frank Whittaker; Hua Wang 002 (Expert Syst. Appl., 2020)

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. - Rahim Barzegar; Masoud Sattarpour; Ravinesh C. Deo; Elham Fijani; Jan Franklin Adamowski (Neural Comput. Appl., 2020)

A general extensible learning approach for multi-disease recommendations in a telehealth environment. - Raid Lafta; Ji Zhang 001; Xiaohui Tao 001; Xiaodong Zhu; Hongzhou Li; Liang Chang 003; Ravinesh C. Deo (Pattern Recognit. Lett., 2020)

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. - Mohammad Ali Ghorbani; Ravinesh C. Deo; Sungwon Kim; Mahsa Hasanpour Kashani; Vahid Karimi; Maryam Izadkhah (Soft Comput., 2020)

Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm. - W. J. M. Lakmini Prarthana Jayasinghe; Ravinesh C. Deo; Afshin Ghahramani; Sujan Ghimire; Nawin Raj (IEEE Access, 2021)

Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm. - Mohammed Moishin; Ravinesh C. Deo; Ramendra Prasad; Nawin Raj; Shahab A. Abdulla (IEEE Access, 2021)

A new framework for classification of multi-category hand grasps using EMG signals. - Firas Sabar Miften; Mohammed Diykh; Shahab A. Abdulla; Siuly Siuly; Jonathan H. Green; Ravinesh C. Deo (Artif. Intell. Medicine, 2021)

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models. - Maryam Bayat Varkeshi; Suraj Kumar Bhagat; Kourosh Mohammadi; Özgür Kisi; M. Farahani; A. Hasani; Ravinesh C. Deo; Zaher Mundher Yaseen (Comput. Electron. Agric., 2021)

An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. - Hanan Al-Hadeethi; Shahab A. Abdulla; Mohammed Diykh; Ravinesh C. Deo; Jonathan H. Green (Frontiers Neuroinformatics, 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. - Abul Abrar Masrur Ahmed; Ravinesh C. Deo; Nawin Raj; Afshin Ghahramani; Qi Feng; Zhenliang Yin; Linshan Yang (Remote. Sens., 2021)

Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). - Hui Wen Loh; Wanrong Hong; Ooi Chui Ping; Subrata Chakraborty; Prabal Datta Barua; Ravinesh C. Deo; Jeffrey Soar; Elizabeth Emma Palmer; U. Rajendra Acharya (Sensors, 2021)

Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps. - Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Sancho Salcedo-Sanz; Jeffrey Soar (IEEE Access, 2022)

Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. - Thong Nguyen-Huy; Ravinesh C. Deo; Shahjahan Khan; Aruna Devi; Adewuyi Ayodele Adeyinka; Armando A. Apan; Zaher Mundher Yaseen (IEEE Access, 2022)

Cloud Affected Solar UV Prediction With Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. - Salvin S. Prasad; Ravinesh C. Deo; Nathan J. Downs; Damien P. Igoe; Alfio V. Parisi; Jeffrey Soar (IEEE Access, 2022)

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. - Sujan Ghimire; Binayak Bhandari; David Casillas-Pérez; Ravinesh C. Deo; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2022)

Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. - Abul Abrar Masrur Ahmed; Ekta Sharma; S. Janifer Jabin Jui; Ravinesh C. Deo; Thong Nguyen-Huy; Mumtaz Ali (Remote. Sens., 2022)

Deep Image Analysis for Microalgae Identification. - Jeffrey Soar; Shu Lih Oh; Hui Wen Loh; Aletha Ward; Ekta Sharma; Ravinesh C. Deo; Prabal Datta Barua; Ru-San Tan; Eliezer Rinen; U. Rajendra Acharya (iiWAS, 2023)

A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes. - Ekta Sharma; Ismail Shakeel; Ravinesh C. Deo; Christopher P. Davey; Sancho Salcedo-Sanz (ISCIT, 2023)

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. - Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar; Sarvesh Bhandary; Massimo Salvi; Ravinesh C. Deo; Prabal Datta Barua; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2023)

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). - S. Janifer Jabin Jui; Ravinesh C. Deo; Prabal Datta Barua; Aruna Devi; Jeffrey Soar; U. Rajendra Acharya (IEEE Access, 2023)

Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. - Sagthitharan Karalasingham; Ravinesh C. Deo; David Casillas-Pérez; Nawin Raj; Sancho Salcedo-Sanz (IEEE Access, 2023)

Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models. - Farina Riaz; Shahab A. Abdulla; Hajime Suzuki; Srinjoy Ganguly; Ravinesh C. Deo; Susan Hopkins (CoRR, 2023)

Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples. - Farina Riaz; Shahab A. Abdulla; Hajime Suzuki; Srinjoy Ganguly; Ravinesh C. Deo; Susan Hopkins (CoRR, 2023)

Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. - Mohammed Diykh; Shahab A. Abdulla; Ravinesh C. Deo; Siuly Siuly; Mumtaz Ali (Comput. Methods Programs Biomed., 2023)

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. - Sujan Ghimire; Thong Nguyen-Huy; Ramendra Prasad; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; Binayak Bhandari (Cogn. Comput., 2023)

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. - Farina Riaz; Shahab A. Abdulla; Hajime Suzuki; Srinjoy Ganguly; Ravinesh C. Deo; Susan Hopkins (Sensors, 2023)

Comparison of machine learning methods emulating process driven crop models. - David B. Johnston; Keith G. Pembleton; Neil I. Huth; Ravinesh C. Deo (Environ. Model. Softw., 2023)

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. - U. Raghavendra; Anjan Gudigar; Aritra Paul; T. S. Goutham; Mahesh Anil Inamdar; Ajay Hegde; Aruna Devi; Chui Ping Ooi; Ravinesh C. Deo; Prabal Datta Barua; Filippo Molinari; Edward J. Ciaccio; et al. (Comput. Biol. Medicine, 2023)

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. - Salvin S. Prasad; Ravinesh C. Deo; Sancho Salcedo-Sanz; Nathan J. Downs; David Casillas-Pérez; Alfio V. Parisi (Comput. Methods Programs Biomed., 2023)

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). - Shuting Xu; Ravinesh C. Deo; Jeffrey Soar; Prabal Datta Barua; Oliver Faust; Nusrat Homaira; Adam Jaffe; Arm Luthful Kabir; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. - Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Sancho Salcedo-Sanz (Sensors, 2023)

Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023). - Saad Islam; Ravinesh C. Deo; Prabal Datta Barua; Jeffrey Soar; Ping Yu 004; U. Rajendra Acharya (IEEE Access, 2024)

Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. - Lionel P. Joseph; Ravinesh C. Deo; David Casillas-Pérez; Ramendra Prasad; Nawin Raj; Sancho Salcedo-Sanz (IEEE Access, 2024)

Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry. - Shiveel Raj; Ravinesh C. Deo; Ekta Sharma; Ramendra Prasad; Toan Dinh; Sancho Salcedo-Sanz (IEEE Access, 2024)

End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. - Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Ekta Sharma; Sancho Salcedo-Sanz; Jeffrey Soar (Appl. Soft Comput., 2024)

Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course. - Sujan Ghimire; Shahab A. Abdulla; Lionel P. Joseph; Salvin Prasad; Angela Murphy; Aruna Devi; Prabal Datta Barua; Ravinesh C. Deo; Udyavara Rajendra Acharya; Zaher Mundher Yaseen (Comput. Educ. Artif. Intell., 2024)

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. - Sujan Ghimire; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; S. Ali Pourmousavi; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. - Sujan Ghimire; Ravinesh C. Deo; S. Ali Pourmousavi; David Casillas-Pérez; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2024)

A Comprehensive Review of UAV-UGV Collaboration: Advancements and Challenges. - Isuru Munasinghe; Asanka G. Perera; Ravinesh C. Deo (J. Sens. Actuator Networks, 2024)

Hybrid deep learning model for wave height prediction in Australia's wave energy region. - Abul Abrar Masrur Ahmed; S. Janifer Jabin Jui; Mohanad S. Al-Musaylh; Nawin Raj; Reepa Saha; Ravinesh C. Deo; Sanjoy Kumar Saha 003 (Appl. Soft Comput., 2024)

Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. - Salvin S. Prasad; Ravinesh C. Deo; Nathan J. Downs; David Casillas-Pérez; Sancho Salcedo-Sanz; Alfio V. Parisi (Expert Syst. Appl., 2024)

Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback. - Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Sancho Salcedo-Sanz (Sensors, 2024)

Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites. - Ekta Sharma; Ravinesh C. Deo; Christopher P. Davey; Brad D. Carter (Sensors, 2024)

Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities. - Ekta Sharma; Ravinesh C. Deo; Christopher P. Davey; Brad D. Carter; Sancho Salcedo-Sanz (WoWMoM, 2025)

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Ravinesh C. Deo; Abdul Hafeez-Baig; Tracy Kolbe-Alexander; Niranjana Sampathila; U. Rajendra Acharya (IEEE Access, 2025)

Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. - Sreeni Chadalavada; Süleyman Yaman; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Prabal Datta Barua; Ravinesh C. Deo; Makiko Kobayashi; U. Rajendra Acharya (IEEE Access, 2025)

EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals. - Madhav R. Acharya; Ravinesh C. Deo; Prabal Datta Barua; Aruna Devi; Xiaohui Tao 001 (Comput. Methods Programs Biomed., 2025)

Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024). - Madhav R. Acharya; Ravinesh C. Deo; Xiaohui Tao 001; Prabal Datta Barua; Aruna Devi; Anirudh Atmakuru; Ru-San Tan (Comput. Methods Programs Biomed., 2025)

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024). - Süleyman Yaman; Özkan Aslan; Hasan Güler; Abdulkadir Sengür; Abdul Hafeez-Baig; Ru-San Tan; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2025)

Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability. - Hai Tao; Mohammed Suleman Aldlemy; Mohammed Ayad Saad; Swee Pin Yeap; Atheer Y. Oudah; Omer A. Alawi; Leonardo Goliatt; Shamsad Ahmad; Zaher Mundher Yaseen; Ravinesh C. Deo (Eng. Appl. Artif. Intell., 2025)

A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. - Alen Shahini; Aditya Prabhakara Kamath; Ekta Sharma; Massimo Salvi; Ru-San Tan; Siuly Siuly; Silvia Seoni; Rahul Ganguly; Aruna Devi; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Inf. Fusion, 2025)

A comprehensive systematic literature review on artificial intelligence for error correction and modulation schemes in next-generation satellite communications. - Ekta Sharma; Christopher P. Davey; Ravinesh C. Deo; Brad D. Carter; Sancho Salcedo-Sanz (Artif. Intell. Rev., 2025)