Ravinesh C. Deo

Publication Activity (10 Years)

Years Active: 2015-2025
Publications (10 Years): 54

Top Topics

Demand Forecasting

Extreme Learning Machine

Top Venues

Comput. Electron. Agric.

Expert Syst. Appl.

Publications

Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter, Sancho Salcedo-Sanz
Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities. WoWMoM (2025)
Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, David Casillas-Pérez, Sancho Salcedo-Sanz, Alfio V. Parisi
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. Expert Syst. Appl. 236 (2024)
Shiveel Raj, Ravinesh C. Deo, Ekta Sharma, Ramendra Prasad, Toan Dinh, Sancho Salcedo-Sanz
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry. IEEE Access 12 (2024)
Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Ekta Sharma, Sancho Salcedo-Sanz, Jeffrey Soar
End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Appl. Soft Comput. 159 (2024)
Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz
Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback. Sensors 24 (10) (2024)
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132 (2024)
Abul Abrar Masrur Ahmed, S. Janifer Jabin Jui, Mohanad S. Al-Musaylh, Nawin Raj, Reepa Saha, Ravinesh C. Deo, Sanjoy Kumar Saha
Hybrid deep learning model for wave height prediction in Australia's wave energy region. Appl. Soft Comput. 150 (2024)
Lionel P. Joseph, Ravinesh C. Deo, David Casillas-Pérez, Ramendra Prasad, Nawin Raj, Sancho Salcedo-Sanz
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access 12 (2024)
Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, David Casillas-Pérez, Sancho Salcedo-Sanz
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. 135 (2024)
Mohammed Diykh, Shahab A. Abdulla, Ravinesh C. Deo, Siuly Siuly, Mumtaz Ali
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. Comput. Methods Programs Biomed. 229 (2023)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Jeffrey Soar, U. Rajendra Acharya
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). IEEE Access 11 (2023)
Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Pérez, Nawin Raj, Sancho Salcedo-Sanz
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. IEEE Access 11 (2023)
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
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163 (2023)
Salvin S. Prasad, Ravinesh C. Deo, Sancho Salcedo-Sanz, Nathan J. Downs, David Casillas-Pérez, Alfio V. Parisi
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. Comput. Methods Programs Biomed. 241 (2023)
Sujan Ghimire, Thong Nguyen-Huy, Ramendra Prasad, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, Binayak Bhandari
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. Cogn. Comput. 15 (2) (2023)
Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. Sensors 23 (5) (2023)
Ekta Sharma, Ismail Shakeel, Ravinesh C. Deo, Christopher P. Davey, Sancho Salcedo-Sanz
A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes. ISCIT (2023)
Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz
Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. Sensors 23 (24) (2023)
Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples. CoRR (2023)
David B. Johnston, Keith G. Pembleton, Neil I. Huth, Ravinesh C. Deo
Comparison of machine learning methods emulating process driven crop models. Environ. Model. Softw. 162 (2023)
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
Deep Image Analysis for Microalgae Identification. iiWAS (2023)
Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models. CoRR (2023)
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
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11 (2023)
Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U. Rajendra Acharya
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). Comput. Methods Programs Biomed. 241 (2023)
Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, Ravinesh C. Deo, Sancho Salcedo-Sanz
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. Eng. Appl. Artif. Intell. 112 (2022)
Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz, Jeffrey Soar
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps. IEEE Access 10 (2022)
Thong Nguyen-Huy, Ravinesh C. Deo, Shahjahan Khan, Aruna Devi, Adewuyi Ayodele Adeyinka, Armando A. Apan, Zaher Mundher Yaseen
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. IEEE Access 10 (2022)
Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, Damien P. Igoe, Alfio V. Parisi, Jeffrey Soar
Cloud Affected Solar UV Prediction With Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access 10 (2022)
Abul Abrar Masrur Ahmed, Ekta Sharma, S. Janifer Jabin Jui, Ravinesh C. Deo, Thong Nguyen-Huy, Mumtaz Ali
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote. Sens. 14 (5) (2022)
W. J. M. Lakmini Prarthana Jayasinghe, Ravinesh C. Deo, Afshin Ghahramani, Sujan Ghimire, Nawin Raj
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm. IEEE Access 9 (2021)
Firas Sabar Miften, Mohammed Diykh, Shahab A. Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh C. Deo
A new framework for classification of multi-category hand grasps using EMG signals. Artif. Intell. Medicine 112 (2021)
A. A. Masrur Ahmed, Ravinesh C. Deo, Nawin Raj, Afshin Ghahramani, Qi Feng, Zhenliang Yin, Linshan Yang
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. 13 (4) (2021)
Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers Neuroinformatics 15 (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
Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). Sensors 21 (21) (2021)
Maryam Bayat Varkeshi, Suraj Kumar Bhagat, Kourosh Mohammadi, Özgür Kisi, M. Farahani, A. Hasani, Ravinesh C. Deo, Zaher Mundher Yaseen
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models. Comput. Electron. Agric. 185 (2021)
Mohammed Moishin, Ravinesh C. Deo, Ramendra Prasad, Nawin Raj, Shahab A. Abdulla
Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm. IEEE Access 9 (2021)
Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. Appl. Soft Comput. 97 (Part) (2020)
Mohammad Ali Ghorbani, Ravinesh C. Deo, Sungwon Kim, Mahsa Hasanpour Kashani, Vahid Karimi, Maryam Izadkhah
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. 24 (16) (2020)
Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Syst. Appl. 149 (2020)
Ravinesh C. Deo, Zaher Mundher Yaseen, Nadhir Al-Ansari, Thong Nguyen-Huy, Trevor Ashley Mcpherson Langlands, Linda Galligan
Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access 8 (2020)
Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Syst. Appl. 161 (2020)
Ekta Sharma, Ravinesh C. Deo, Ramendra Prasad, Alfio V. Parisi, Nawin Raj
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. IEEE Access 8 (2020)
Rahim Barzegar, Masoud Sattarpour, Ravinesh C. Deo, Elham Fijani, Jan Franklin Adamowski
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. Neural Comput. Appl. 32 (13) (2020)
Tao Hai, Ahmad Sharafati, Achite Mohammed, Sinan Q. Salih, Ravinesh C. Deo, Nadhir Al-Ansari, Zaher Mundher Yaseen
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model. IEEE Access 8 (2020)
Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
Ensemble neural network approach detecting pain intensity from facial expressions. Artif. Intell. Medicine 109 (2020)
Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo
A general extensible learning approach for multi-disease recommendations in a telehealth environment. Pattern Recognit. Lett. 132 (2020)
Shahab A. Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Syst. Appl. 138 (2019)
Ghazal Bargshady, Jeffrey Soar, Xujuan Zhou, Ravinesh C. Deo, Frank Whittaker, Hua Wang
A Joint Deep Neural Network Model for Pain Recognition from Face. ICCCS (2019)
Mohammed Diykh, Shahab A. Abdulla, Khalid Saleh, Ravinesh C. Deo
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. Biomed. Signal Process. Control. 54 (2019)
Mumtaz Ali, Ravinesh C. Deo, Nathan J. Downs, Tek Maraseni
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Comput. Electron. Agric. 152 (2018)
Mohanad S. Al-Musaylh, Ravinesh C. Deo, Jan Franklin Adamowski, Yan Li
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Adv. Eng. Informatics 35 (2018)
Zaher Mundher Yaseen, Ravinesh C. Deo, Ameer Hilal, Abbas M. Abd, Laura Cornejo-Bueno, Sancho Salcedo-Sanz, Moncef L. Nehdi
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Adv. Eng. Softw. 115 (2018)
Hadi Sanikhani, Ravinesh C. Deo, Pijush Samui, Özgür Kisi, Cihan Mert, Rasoul Mirabbasi, Siavash Gavili, Zaher Mundher Yaseen
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Comput. Electron. Agric. 152 (2018)
Louis Kouadio, Ravinesh C. Deo, Vivekananda Byrareddy, Jan Franklin Adamowski, Shahbaz Mushtaq, Van Phuong Nguyen
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties. Comput. Electron. Agric. 155 (2018)
Soukayna Mouatadid, Ravinesh C. Deo, Jan Franklin Adamowski
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. ICMLA (2015)