Ravinesh C. Deo

75 papers C 3Journal 69Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated stress detection with explainable-AI transformer TabNet technique and physiological signals. Biomed. Signal Process. Control. S. Janifer Jabin Jui, Ravinesh C. Deo, Rajendra Acharya, Prabal Datta Barua, Jeffrey Soar, Aruna Devi
2026	J	`jnl`	Characterization of Mental Stress Using Multivariate R-Vine Copula Approach With Physiological Signals. IEEE Access S. Janifer Jabin Jui, Thong Nguyen-Huy, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, U. Rajendra Acharya
2026	J	`jnl`	Electricity load and price forecasting in Spain: A hybrid deep learning framework leveraging temporal and seasonal dynamics. Expert Syst. Appl. Ahmed Adil Nafea, Omer A. Alawi, Ziaul Haq Doost, Mohammed M. Al-Ani, Ahmad Bilal Ahmadullah, Ravinesh C. Deo, Zaher Mundher Yaseen
2026	J	`jnl`	Explainable stress detection system using hybrid CNN-Transformer and uncertainty quantification with copula GAN-based data. Biomed. Signal Process. Control. S. Janifer Jabin Jui, Ravinesh C. Deo, Rajendra Acharya, Prabal Datta Barua, Jeffrey Soar, Aruna Devi
2026	J	`jnl`	Graph empirical mode decomposition and multiscale feature extraction for EEG-based classification of Alzheimer's disease and frontotemporal dementia. Comput. Methods Programs Biomed. Madhav R. Acharya, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Xiaohui Tao
2025	J	`jnl`	A comprehensive systematic literature review on artificial intelligence for error correction and modulation schemes in next-generation satellite communications. Artif. Intell. Rev. Ekta Sharma, Christopher P. Davey, Ravinesh C. Deo, Brad D. Carter, Sancho Salcedo-Sanz
2025	J	`jnl`	A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. Inf. Fusion 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
2025	J	`jnl`	AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction. IEEE Access Sreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya
2025	J	`jnl`	Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines. IEEE Access Andréia Seixas Leal, Ravinesh C. Deo, Salvin S. Prasad, Luis Carlos de Castro Santos, Mumtaz Ali, Lilian Berton
2025	J	`jnl`	Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024). Comput. Methods Programs Biomed. Madhav R. Acharya, Ravinesh C. Deo, Xiaohui Tao, Prabal Datta Barua, Aruna Devi, Anirudh Atmakuru, Ru-San Tan
2025	J	`jnl`	Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024). Comput. Methods Programs Biomed. Süleyman Yaman, Özkan Aslan, Hasan Güler, Abdulkadir Sengür, Abdul Hafeez-Baig, Ru-San Tan, Ravinesh C. Deo, Prabal Datta Barua, U. Rajendra Acharya
2025	J	`jnl`	EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals. Comput. Methods Programs Biomed. Madhav R. Acharya, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Xiaohui Tao
2025	J	`jnl`	Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. IEEE Access Sreeni Chadalavada, Süleyman Yaman, Abdulkadir Sengür, Abdul Hafeez-Baig, Ru-San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya
2025	J	`jnl`	Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability. Eng. Appl. Artif. Intell. 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
2025	C	`conf`	Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities. WoWMoM Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter, Sancho Salcedo-Sanz
2024	J	`jnl`	A Comprehensive Review of UAV-UGV Collaboration: Advancements and Challenges. J. Sens. Actuator Networks Isuru Munasinghe, Asanka G. Perera, Ravinesh C. Deo
2024	J	`jnl`	Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites. Sensors Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter
2024	J	`jnl`	Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry. IEEE Access Shiveel Raj, Ravinesh C. Deo, Ekta Sharma, Ramendra Prasad, Toan Dinh, Sancho Salcedo-Sanz
2024	J	`jnl`	Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback. Sensors Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz
2024	J	`jnl`	End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Appl. Soft Comput. Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Ekta Sharma, Sancho Salcedo-Sanz, Jeffrey Soar
2024	J	`jnl`	Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course. Comput. Educ. Artif. Intell. 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
2024	J	`jnl`	Hybrid deep learning model for wave height prediction in Australia's wave energy region. Appl. Soft Comput. Abul Abrar Masrur Ahmed, S. Janifer Jabin Jui, Mohanad S. Al-Musaylh, Nawin Raj, Reepa Saha, Ravinesh C. Deo, Sanjoy Kumar Saha
2024	J	`jnl`	Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access Lionel P. Joseph, Ravinesh C. Deo, David Casillas-Pérez, Ramendra Prasad, Nawin Raj, Sancho Salcedo-Sanz
2024	J	`jnl`	Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, David Casillas-Pérez, Sancho Salcedo-Sanz
2024	J	`jnl`	Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya
2024	J	`jnl`	Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023). IEEE Access Saad Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, Ping Yu, U. Rajendra Acharya
2024	—	`conf`	Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems. CAI Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter, Sancho Salcedo-Sanz
2024	J	`jnl`	Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. Expert Syst. Appl. Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, David Casillas-Pérez, Sancho Salcedo-Sanz, Alfio V. Parisi
2023	—	`conf`	A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes. ISCIT Ekta Sharma, Ismail Shakeel, Ravinesh C. Deo, Christopher P. Davey, Sancho Salcedo-Sanz
2023	J	`jnl`	A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 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
2023	J	`jnl`	Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. Sensors Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
2023	J	`jnl`	Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). IEEE Access S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Jeffrey Soar, U. Rajendra Acharya
2023	J	`jnl`	Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples. CoRR Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
2023	J	`jnl`	Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). Comput. Methods Programs Biomed. Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U. Rajendra Acharya
2023	J	`jnl`	Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 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, U. Rajendra Acharya
2023	J	`jnl`	Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. Sensors Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz
2023	J	`jnl`	Comparison of machine learning methods emulating process driven crop models. Environ. Model. Softw. David B. Johnston, Keith G. Pembleton, Neil I. Huth, Ravinesh C. Deo
2023	C	`conf`	Deep Image Analysis for Microalgae Identification. iiWAS 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
2023	J	`jnl`	Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. Comput. Methods Programs Biomed. Mohammed Diykh, Shahab A. Abdulla, Ravinesh C. Deo, Siuly Siuly, Mumtaz Ali
2023	J	`jnl`	Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models. CoRR Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
2023	J	`jnl`	Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. IEEE Access Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Pérez, Nawin Raj, Sancho Salcedo-Sanz
2023	J	`jnl`	Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. Comput. Methods Programs Biomed. Salvin S. Prasad, Ravinesh C. Deo, Sancho Salcedo-Sanz, Nathan J. Downs, David Casillas-Pérez, Alfio V. Parisi
2023	J	`jnl`	Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. Cogn. Comput. Sujan Ghimire, Thong Nguyen-Huy, Ramendra Prasad, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, Binayak Bhandari
2022	J	`jnl`	Cloud Affected Solar UV Prediction With Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, Damien P. Igoe, Alfio V. Parisi, Jeffrey Soar
2022	J	`jnl`	Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. Eng. Appl. Artif. Intell. Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, Ravinesh C. Deo, Sancho Salcedo-Sanz
2022	J	`jnl`	Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote. Sens. Abul Abrar Masrur Ahmed, Ekta Sharma, S. Janifer Jabin Jui, Ravinesh C. Deo, Thong Nguyen-Huy, Mumtaz Ali
2022	J	`jnl`	Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization. Knowl. Based Syst. Iman Ahmadianfar, Ramzia Majeed Noori, Hussein Togun, Mayadah Waheed Falah, Raad Z. Homod, Minglei Fu, Bijay Halder, Ravinesh C. Deo, Zaher Mundher Yaseen
2022	J	`jnl`	Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. IEEE Access Thong Nguyen-Huy, Ravinesh C. Deo, Shahjahan Khan, Aruna Devi, Adewuyi Ayodele Adeyinka, Armando A. Apan, Zaher Mundher Yaseen
2022	J	`jnl`	Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps. IEEE Access Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz, Jeffrey Soar
2021	J	`jnl`	A new framework for classification of multi-category hand grasps using EMG signals. Artif. Intell. Medicine Firas Sabar Miften, Mohammed Diykh, Shahab A. Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh C. Deo
2021	J	`jnl`	An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers Neuroinformatics Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
2021	J	`jnl`	Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). Sensors Hui Wen Loh, Wanrong Hong, Ooi Chui Ping, Subrata Chakraborty, Prabal Datta Barua, Ravinesh C. Deo, Jeffrey Soar, Elizabeth Emma Palmer, U. Rajendra Acharya
2021	J	`jnl`	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. Sens. Abul Abrar Masrur Ahmed, Ravinesh C. Deo, Nawin Raj, Afshin Ghahramani, Qi Feng, Zhenliang Yin, Linshan Yang
2021	J	`jnl`	Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm. IEEE Access W. J. M. Lakmini Prarthana Jayasinghe, Ravinesh C. Deo, Afshin Ghahramani, Sujan Ghimire, Nawin Raj
2021	J	`jnl`	Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm. IEEE Access Mohammed Moishin, Ravinesh C. Deo, Ramendra Prasad, Nawin Raj, Shahab A. Abdulla
2021	J	`jnl`	Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models. Comput. Electron. Agric. Maryam Bayat Varkeshi, Suraj Kumar Bhagat, Kourosh Mohammadi, Özgür Kisi, M. Farahani, A. Hasani, Ravinesh C. Deo, Zaher Mundher Yaseen
2020	J	`jnl`	A general extensible learning approach for multi-disease recommendations in a telehealth environment. Pattern Recognit. Lett. Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo
2020	J	`jnl`	Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Syst. Appl. Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
2020	J	`jnl`	An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. Neural Comput. Appl. Rahim Barzegar, Masoud Sattarpour, Ravinesh C. Deo, Elham Fijani, Jan Franklin Adamowski
2020	J	`jnl`	Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. IEEE Access Ekta Sharma, Ravinesh C. Deo, Ramendra Prasad, Alfio V. Parisi, Nawin Raj
2020	J	`jnl`	Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. Soft Comput. Mohammad Ali Ghorbani, Ravinesh C. Deo, Sungwon Kim, Mahsa Hasanpour Kashani, Vahid Karimi, Maryam Izadkhah
2020	J	`jnl`	Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Syst. Appl. Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
2020	J	`jnl`	Ensemble neural network approach detecting pain intensity from facial expressions. Artif. Intell. Medicine Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
2020	J	`jnl`	Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model. IEEE Access Tao Hai, Ahmad Sharafati, Achite Mohammed, Sinan Q. Salih, Ravinesh C. Deo, Nadhir Al-Ansari, Zaher Mundher Yaseen
2020	J	`jnl`	Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access Ravinesh C. Deo, Zaher Mundher Yaseen, Nadhir Al-Ansari, Thong Nguyen-Huy, Trevor Ashley Mcpherson Langlands, Linda Galligan
2020	J	`jnl`	The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. Appl. Soft Comput. Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
2019	—	`conf`	A Joint Deep Neural Network Model for Pain Recognition from Face. ICCCS Ghazal Bargshady, Jeffrey Soar, Xujuan Zhou, Ravinesh C. Deo, Frank Whittaker, Hua Wang
2019	J	`jnl`	Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. Biomed. Signal Process. Control. Mohammed Diykh, Shahab A. Abdulla, Khalid Saleh, Ravinesh C. Deo
2019	J	`jnl`	Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Syst. Appl. Shahab A. Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo
2018	J	`jnl`	Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties. Comput. Electron. Agric. Louis Kouadio, Ravinesh C. Deo, Vivekananda Byrareddy, Jan Franklin Adamowski, Shahbaz Mushtaq, Van Phuong Nguyen
2018	J	`jnl`	Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Comput. Electron. Agric. Mumtaz Ali, Ravinesh C. Deo, Nathan J. Downs, Tek Maraseni
2018	J	`jnl`	Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Adv. Eng. Softw. Zaher Mundher Yaseen, Ravinesh C. Deo, Ameer A. Hilal, Abbas M. Abd, Laura Cornejo-Bueno, Sancho Salcedo-Sanz, Moncef L. Nehdi
2018	J	`jnl`	Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Adv. Eng. Informatics Mohanad S. Al-Musaylh, Ravinesh C. Deo, Jan Franklin Adamowski, Yan Li
2018	J	`jnl`	Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Comput. Electron. Agric. Hadi Sanikhani, Ravinesh C. Deo, Pijush Samui, Özgür Kisi, Cihan Mert, Rasoul Mirabbasi, Siavash Gavili, Zaher Mundher Yaseen
2015	C	`conf`	Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. ICMLA Soukayna Mouatadid, Ravinesh C. Deo, Jan Franklin Adamowski