| Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed J Anmala, V Turuganti Water Environment Research 93 (11), 2360-2373, 2021 | 28 | 2021 |
| Statistical assessment and neural network modeling of stream water quality observations of Green River watershed, KY, USA J Anmala, T Venkateshwarlu Water Supply 19 (6), 1831-1840, 2019 | 17 | 2019 |
| PCA, CCA, and ANN modeling of climate and land-use effects on stream water quality of Karst watershed in Upper Green River, Kentucky T Venkateswarlu, J Anmala, M Dharwa Journal of hydrologic Engineering 25 (6), 05020008, 2020 | 15 | 2020 |
| Importance of land use factors in the prediction of water quality of the Upper Green River watershed, Kentucky, USA, using random forest T Venkateswarlu, J Anmala Environment, Development and Sustainability, 1-24, 2023 | 2 | 2023 |
| Application of random forest model in the prediction of river water quality T Venkateswarlu, J Anmala Proceedings of Seventh International Congress on Information and …, 2022 | 1 | 2022 |
| Support vector machine (SVM) model development for prediction of fecal coliform of Upper Green River Watershed, Kentucky, USA M Talnikar, J Anmala, T Venkateswarlu, C Parimi Sustainable Water Resources Management 10 (3), 114, 2024 | | 2024 |
| Significance of Classification and Regression Tree (CART) Models in the Prediction of River Water Quality Venkateswarlu Turuganti , Abdul Hannan , Maitreyee Talnikar , Jagadeesh Anmala HYDRO 2020 INTERNATIONAL National Institute of Technology Rourkela 25th …, 2020 | | 2020 |
| Prediction of River Water Quality of Upper Green River Watershed, Kentucky, USA Using Cluster-Based Neural Network Models Venkateswarlu Turuganti, Rishab Agarwal, Bogavarapu Purna Srivasta ... ISH - HYDRO 2019 INTERNATIONAL CONFERENCE- OSMANIA UNIVERSITY, 2019 | | 2019 |
