| Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation A Kumar, P Kumar, VK Singh Water Resources Management, 1-15, 2019 | 67 | 2019 |
| Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques R Shukla, P Kumar, DK Vishwakarma, R Ali, R Kumar, A Kuriqi Theoretical and Applied Climatology, 1-23, 2022 | 41 | 2022 |
| Superiority of hybrid soft computing models in daily suspended sediment estimation in highly dynamic rivers TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi Sustainability 13 (2), 542, 2021 | 40 | 2021 |
| Estimation of daily stage–discharge relationship by using data-driven techniques of a perennial river, India M Kumar, A Kumari, DP Kushwaha, P Kumar, A Malik, R Ali, A Kuriqi Sustainability 12 (19), 7877, 2020 | 39 | 2020 |
| Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform M Kumar, P Kumar, A Kumar, A Elbeltagi, A Kuriqi Applied Water Science 12 (5), 87, 2022 | 34 | 2022 |
| Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi Theoretical and Applied Climatology 145 (3), 1207-1231, 2021 | 30 | 2021 |
| Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test DK Vishwakarma, A Kuriqi, SA Abed, G Kishore, N Al-Ansari, K Pandey, ... Heliyon 9 (5), 2023 | 18 | 2023 |
| Application of remote sensing and GIS for morphometric analysis of watershed: A Review TS Bajirao, P Kumar, A Kumar IJCS 7 (2), 709-713, 2019 | 18 | 2019 |
| Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India P Rai, P Kumar, N Al-Ansari, A Malik Sustainability 14, 1-19, 2022 | 17 | 2022 |
| Evaluation of Machine Learning Versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India P Rai, P Kumar, N Al-Ansari, A Malik Sustainability 14 (10), 5771, 2022 | 17 | 2022 |
| A COMPARATIVE STUDY OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) AND MULTIPLE LINEAR REGRESSION (MLR) FOR RAINFALL-RUNOFF MODELLING VK Singh, P Kumar, BP Singh, A Malik International Journal of Science and Nature 7 (4), 714-723, 2016 | 16 | 2016 |
| Daily rainfall forecasting using adaptive neuro-fuzzy inference system (ANFIS) models PM Kyada, P Kumar International Journal of Science and Nature 6 (3), 382-388, 2015 | 16 | 2015 |
| Effect of integrated weed management practices on sugarcane ratoon and associated weeds R Singh, J Kumar, P Kumar, T Pratap, VK Singh, R Pal, S Panwar Indian Society of Weed Science 44 (3), 144-146, 2012 | 16 | 2012 |
| Rainfall-runoff Modeling using Artificial Neural Networks (ANNs) and Multiple Linear Regression (MLR) Techniques VK Singh, P Kumar, BP Singh INDIAN JOURNAL OF Ecology 43 (2), 436-442, 2016 | 14 | 2016 |
| Geospatial technology for prioritization of Koyna River basin of India based on soil erosion rates using different approaches TS Bajirao, P Kumar Environmental Science and Pollution Research, 35242-35265, 2021 | 12 | 2021 |
| Modeling rainfall-runoff using artificial neural network (ANNs) and wavelet based anns (WANNs) for Haripura Dam, Uttarakhand BB Dumka, P Kumar Indian Journal of Ecology 48 (1), 271-274, 2021 | 12 | 2021 |
| A rapid method for fungal assisted algal flocculation: critical parameters & mechanism insights. Algal Res 21: 42–51 A Bhattacharya, M Mathur, P Kumar, SK Prajapati, A Malik | 12 | 2017 |
| Modelling river suspended sediment load using artificial neural network and multiple linear regression: Vamsadhara River Basin, India S Nivesh, P Kumar International Journal of Chemical Studies 5 (5), 337-344, 2017 | 12 | 2017 |
| RAINFALL FORECASTING USING ARTIFICIAL NEURAL NETWORK (ANN) AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) MODELS PM Kyada, P Kumar, MA Sojitra International Journal of Agriculture Sciences 10 (10), 6153-6159, 2018 | 11 | 2018 |
| Estimation of Monsoon Season Rainfall and Sensitivity Analysis Using Artificial Neural Networks BP Singh, P Kumar, T Srivastava, VK Singh Indian Journal of Ecology 44 (special issue-5), 317-322, 2017 | 11 | 2017 |
Alban KuriqiUniversity of Lisbon, Portugal在 tecnico.ulisboa.pt 的电子邮件经过验证
