| Modelling of impact of water quality on infiltration rate of soil by random forest regression B Singh, P Sihag, K Singh Modeling Earth Systems and Environment 3, 999-1004, 2017 | 200 | 2017 |
| Modeling the infiltration process with soft computing techniques P Sihag, B Singh, A Sepah Vand, V Mehdipour ISH Journal of Hydraulic Engineering 26 (2), 138-152, 2020 | 71 | 2020 |
| Comparative evaluation of infiltration models AS Vand, P Sihag, B Singh, M Zand KSCE Journal of Civil Engineering 22, 4173-4184, 2018 | 71 | 2018 |
| Strength performance of recycled aggregate concretes containing mineral admixtures and their performance prediction through various modeling techniques S Arora, B Singh, B Bhardwaj Journal of Building Engineering 24, 100741, 2019 | 58 | 2019 |
| Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques P Sihag, F Esmaeilbeiki, B Singh, I Ebtehaj, H Bonakdari Soft Computing 23, 12897-12910, 2019 | 47 | 2019 |
| Assessment of the various soft computing techniques to predict sodium absorption ratio (SAR) A Sepahvand, B Singh, P Sihag, A Nazari Samani, H Ahmadi, S Fiz Nia ISH Journal of Hydraulic Engineering 27 (sup1), 124-135, 2021 | 45 | 2021 |
| Comparison of infiltration models in NIT Kurukshetra campus B Singh, P Sihag, K Singh Applied Water Science 8, 1-8, 2018 | 44 | 2018 |
| Estimation of permeability of soil using easy measured soil parameters: assessing the artificial intelligence-based models B Singh, P Sihag, SM Pandhiani, S Debnath, S Gautam ISH Journal of Hydraulic Engineering 27 (sup1), 38-48, 2021 | 42 | 2021 |
| Time-series prediction of streamflows of Malaysian rivers using data-driven techniques SM Pandhiani, P Sihag, AB Shabri, B Singh, QB Pham Journal of Irrigation and Drainage Engineering 146 (7), 04020013, 2020 | 40 | 2020 |
| Estimation of compressive strength of high-strength concrete by random forest and M5P model tree approaches B Singh, P Sihag, A Tomar, A SEHGAL Journal of Materials and Engineering Structures «JMES» 6 (4), 583-592, 2019 | 40 | 2019 |
| Comparative analysis of artificial intelligence techniques for the prediction of infiltration process B Singh, P Sihag, A Parsaie, A Angelaki Geology, Ecology, and Landscapes 5 (2), 109-118, 2021 | 38 | 2021 |
| Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, Iran P Sihag, F Esmaeilbeiki, B Singh, SM Pandhiani Geology, Ecology, and Landscapes 4 (3), 203-215, 2020 | 35 | 2020 |
| Assessment of infiltration models developed using soft computing techniques P Sihag, M Kumar, B Singh Geology, Ecology, and Landscapes 5 (4), 241-251, 2021 | 27 | 2021 |
| Estimation of trapping efficiency of a vortex tube silt ejector B Singh, P Sihag, K Singh, S Kumar International Journal of River Basin Management 19 (3), 261-269, 2021 | 27 | 2021 |
| Modelling of the impact of water quality on the infiltration rate of the soil B Singh, P Sihag, S Deswal Applied Water Science 9, 1-9, 2019 | 24 | 2019 |
| Prediction of the sodium absorption ratio using data-driven models: a case study in Iran B Singh Geology, Ecology, and Landscapes 4 (1), 1-10, 2020 | 23 | 2020 |
| Soft computing technique-based prediction of water quality index B Singh, P Sihag, VP Singh, A Sepahvand, K Singh Water Supply 21 (8), 4015-4029, 2021 | 19 | 2021 |
| Estimation of infiltration rate using data-driven models A Sepahvand, B Singh, M Ghobadi, P Sihag Arabian Journal of Geosciences 14, 1-11, 2021 | 18 | 2021 |
| Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques S Bhoria, P Sihag, B Singh, I Ebtehaj, H Bonakdari Neural Computing and Applications 33, 17257-17271, 2021 | 15 | 2021 |
| Field evaluation of infiltration models P Sihag, B Singh Техногенно-екологічна безпека, 3-12, 2018 | 14 | 2018 |
Parveen SihagPh.DVerified email at nitkkr.ac.in
