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)

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)

Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods. - Nazila Shamloo; Mohammad Taghi Sattari; Halit Apaydin; Khalil Valizadeh Kamran; Ramendra Prasad (Int. J. Digit. Earth, 2021)

Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture. - Lionel P. Joseph; Erica A. Joseph; Ramendra Prasad (Comput. Biol. Medicine, 2022)

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)

A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks. - Milad Sharafi; Hamed Talebi; Saeed Samadianfard; Ramendra Prasad (Earth Sci. Informatics, 2023)

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)