| 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 | 210 | 2017 |
| Prediction of unsaturated hydraulic conductivity using adaptive neuro-fuzzy inference system (ANFIS) P Sihag, NK Tiwari, S Ranjan ISH Journal of Hydraulic Engineering 25 (2), 132-142, 2019 | 110 | 2019 |
| Estimation and inter-comparison of infiltration models P Sihag, NK Tiwari, S Ranjan Water Science 31 (1), 34-43, 2017 | 109 | 2017 |
| Soft computing techniques: systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times A Mohammed, S Rafiq, P Sihag, R Kurda, W Mahmood Journal of Building Engineering 33, 101851, 2021 | 103 | 2021 |
| Modelling of infiltration of sandy soil using gaussian process regression P Sihag, NK Tiwari, S Ranjan Modeling Earth Systems and Environment 3, 1091-1100, 2017 | 103 | 2017 |
| Modelling of impact of water quality on recharging rate of storm water filter system using various kernel function based regression P Sihag, P Jain, M Kumar Modeling earth systems and environment 4, 61-68, 2018 | 102 | 2018 |
| Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete HU Ahmed, RR Mostafa, A Mohammed, P Sihag, A Qadir Neural Computing and Applications 35 (3), 2909-2926, 2023 | 92 | 2023 |
| ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash A Mohammed, S Rafiq, P Sihag, R Kurda, W Mahmood, K Ghafor, ... Journal of Materials Research and Technology 9 (6), 12416-12427, 2020 | 87 | 2020 |
| 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 | 74 | 2020 |
| Comparative evaluation of infiltration models AS Vand, P Sihag, B Singh, M Zand KSCE Journal of Civil Engineering 22, 4173-4184, 2018 | 73 | 2018 |
| Metamodel techniques to estimate the compressive strength of UHPFRC using various mix proportions and a high range of curing temperatures W Emad, AS Mohammed, A Bras, PG Asteris, R Kurda, Z Muhammed, ... Construction and Building Materials 349, 128737, 2022 | 69 | 2022 |
| Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf T Sadeghifar, GFC Lama, P Sihag, A Bayram, O Kisi Ocean Engineering 245, 110467, 2022 | 66 | 2022 |
| Comparing different methods for statistical modeling of particulate matter in Tehran, Iran V Mehdipour, DS Stevenson, M Memarianfard, P Sihag Air Quality, Atmosphere & Health 11, 1155-1165, 2018 | 64 | 2018 |
| Prediction of unsaturated hydraulic conductivity using fuzzy logic and artificial neural network P Sihag Modeling Earth Systems and Environment 4, 189-198, 2018 | 64 | 2018 |
| Support vector regression-based modeling of cumulative infiltration of sandy soil P Sihag, NK Tiwari, S Ranjan ISH journal of hydraulic engineering 26 (1), 44-50, 2020 | 62 | 2020 |
| Predicting bond strength of FRP bars in concrete using soft computing techniques MS Thakur, SM Pandhiani, V Kashyap, A Upadhya, P Sihag Arabian Journal for Science and Engineering 46, 4951-4969, 2021 | 60 | 2021 |
| Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity P Sihag, S Mohsenzadeh Karimi, A Angelaki Applied Water Science 9 (5), 129, 2019 | 60 | 2019 |
| Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data F Salmasi, M Nouri, P Sihag, J Abraham Water Supply 21 (1), 232-248, 2021 | 57 | 2021 |
| Estimation of models for cumulative infiltration of soil using machine learning methods A Angelaki, S Singh Nain, V Singh, P Sihag ISH Journal of Hydraulic Engineering 27 (2), 162-169, 2021 | 52 | 2021 |
| Assessment of soft computing techniques for the prediction of compressive strength of bacterial concrete F Almohammed, P Sihag, SS Sammen, KA Ostrowski, K Singh, ... Materials 15 (2), 489, 2022 | 50 | 2022 |
Balraj SinghPanipat Institute of Engineering & Technology Samalkha在 nith.ac.in 的电子邮件经过验证
