| Comparison of ANNs and empirical approaches for predicting watershed runoff J Anmala, B Zhang, RS Govindaraju Journal of water resources planning and management 126 (3), 156-166, 2000 | 162 | 2000 |
| Comparison of ANNs and empirical approaches for predicting watershed runoff J Anmala, B Zhang, RS Govindaraju Journal of water resources planning and management 126 (3), 156-166, 2000 | 162 | 2000 |
| Prediction of buckling load of columns using artificial neural networks A Mukherjee, JM Deshpande, J Anmala Journal of Structural Engineering 122 (11), 1385-1387, 1996 | 70 | 1996 |
| 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 | 25 | 2021 |
| GIS and artificial neural network–based water quality model for a stream network in the Upper Green River Basin, Kentucky, USA J Anmala, OW Meier, AJ Meier, S Grubbs Journal of Environmental Engineering 141 (5), 04014082, 2015 | 25 | 2015 |
| 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 | 16 | 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 |
| Fecal coliform predictive model using genetic algorithm-based radial basis function neural networks (GA-RBFNNs) SP Duvvuri, J Anmala Neural Computing and Applications 31 (12), 8393-8409, 2019 | 15 | 2019 |
| Classification and prediction of fecal coliform in stream waters using decision trees (DTs) for upper Green River watershed, Kentucky, USA A Hannan, J Anmala Water 13 (19), 2790, 2021 | 11 | 2021 |
| Lower bounds on scalar dissipation in bounded rectilinear flows V Kapoor, J Anmala Flow, turbulence and combustion 60 (2), 125-156, 1998 | 11 | 1998 |
| Prediction of spectral acceleration of a light structure with a flexible secondary system using artificial neural networks SP Challagulla, C Parimi, J Anmala International Journal of Structural Engineering 10 (4), 353-379, 2020 | 10 | 2020 |
| Prediction of stream water quality in Godavari River Basin, India using statistical and artificial neural network models N Satish, J Anmala, R K, MRR Varma H2Open Journal 5 (4), 621-641, 2022 | 5 | 2022 |
| Fourier stability analysis of two-dimensional finite element schemes for shallow water equations J Anmala, RH Mohtar International Journal of Computational Fluid Dynamics 25 (2), 75-94, 2011 | 5 | 2011 |
| A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India N Satish, J Anmala, K Rajitha, MRR Varma Ecological Informatics 80, 102500, 2024 | 3 | 2024 |
| Neural Networks for Prediction of Watershed Runoff J Anmala, KV Nedunuri, RS Govindaraju, JK Koelliker Watershed Management Planning for the 21st Century, 348-357, 1995 | 3 | 1995 |
| Analytical evaluation of amplification factors, stability, and error analysis of square finite element solution for the kinematic wave shallow water equations J Anmala, RH Mohtar Journal of Hydrologic Engineering 19 (9), 04014013, 2014 | 2 | 2014 |
| Dynamics of mixing and bimolecular reaction kinetics in aquifers J Anmala, V Kapoor Stochastic environmental research and risk assessment 27 (4), 1005-1020, 2013 | 2 | 2013 |
| Mixing and bimolecular reaction kinetics in a plane Poisseulle flow J Anmala, V Kapoor Flow, turbulence and combustion 88 (3), 387-405, 2012 | 2 | 2012 |
| Trophic status estimation of case-2 water bodies of the Godavari River basin using satellite imagery and artificial neural network (ANN) N Satish, K Rajitha, J Anmala, MRR Varma H2Open Journal 6 (2), 297-314, 2023 | 1 | 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 |
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