| Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive … KE ArunKumar, DV Kalaga, CMS Kumar, G Chilkoor, M Kawaji, ... Applied soft computing 103, 107161, 2021 | 234 | 2021 |
| Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated … KE ArunKumar, DV Kalaga, MSKC Kumar, M Kawaji, TM Brenza Alexandria engineering journal 61 (10), 7585-7603, 2022 | 206 | 2022 |
| Forecasting of COVID-19 using deep layer recurrent neural networks (RNNs) with gated recurrent units (GRUs) and long short-term memory (LSTM) cells KE ArunKumar, DV Kalaga, CMS Kumar, M Kawaji, TM Brenza Chaos, Solitons & Fractals 146, 110861, 2021 | 203 | 2021 |
| Maleic anhydride-functionalized graphene nanofillers render epoxy coatings highly resistant to corrosion and microbial attack G Chilkoor, R Sarder, J Islam, KE ArunKumar, I Ratnayake, S Star, ... Carbon 159, 586-597, 2020 | 65 | 2020 |
| Scale-up of a downflow bubble column: Experimental investigations DV Kalaga, M Ansari, DE Turney, F Hernandez-Alvarado, S Kleinbart, ... Chemical Engineering Journal 386, 121447, 2020 | 24 | 2020 |
| Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with SHAP explainable AI, MLflow and its … KE ArunKumar, NE Blake, M Walker, TJ Yost, D Mata-Padrino, ... Journal of Animal Science, skaf041, 2025 | | 2025 |
| PSX-22 Boosting techniques for prediction of dry matter intake of cattle in confinement settings and SHAP analysis on the models’ output KE ArunKumar, N Blake, M Walker, I Holaskova, D Mata-Padrino, ... Journal of Animal Science 102 (Supplement_3), 748-749, 2024 | | 2024 |
| PSXI-25 Re-characterizing beef cattle water intake N Blake, M Walker, KE ArunKumar, D Mata-Padrino, I Holaskova, ... Journal of Animal Science 102 (Supplement_3), 770-771, 2024 | | 2024 |
| 188 Prediction of individual grazing beef cattle dry matter intake N Blake, M Walker, KE ArunKumar, D Mata-Padrino, I Holaskova, ... Journal of Animal Science 102 (Supplement_3), 344-345, 2024 | | 2024 |
| PSX-23 Use of time series data in the prediction of beef cattle dry matter intake using machine learning M Walker, N Blake, KE ArunKumar, D Mata-Padrino, I Holaskova, ... Journal of Animal Science 102 (Supplement_3), 749-750, 2024 | | 2024 |
Dinesh KalagaSenior Research ScientistVerificeret mail på ccny.cuny.edu