Ravinesh C. Deo

According to our database, Ravinesh C. Deo authored at least 22 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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.

A. A. Masrur Ahmed, Ravinesh C. Deo, Nawin Raj, Afshin Ghahramani, Qi Feng, Zhenliang Yin, Linshan Yang

Remote. Sens., 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

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

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

A general extensible learning approach for multi-disease recommendations in a telehealth environment.

Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo

Pattern Recognit. Lett., 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

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

Expert Syst. Appl., 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

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

Appl. Soft Comput., 2020

Ensemble neural network approach detecting pain intensity from facial expressions.

Ghazal Bargshady, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker, Hua Wang

Artif. Intell. Medicine, 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

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

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

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

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

A Joint Deep Neural Network Model for Pain Recognition from Face.

Ghazal Bargshady, Jeffrey Soar, Xujuan Zhou, Ravinesh C. Deo, Frank Whittaker, Hua Wang

Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019

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

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

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

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.

Zaher Mundher Yaseen, Ravinesh C. Deo, Ameer Hilal, Abbas M. Abd, Laura Cornejo-Bueno, Sancho Salcedo-Sanz, Moncef L. Nehdi

Adv. Eng. Softw., 2018

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

2015

Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria.

Soukayna Mouatadid, Ravinesh C. Deo, Jan Franklin Adamowski

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015