| Prediction of probability of liquefaction using soft computing techniques DR Kumar, P Samui, A Burman Journal of The Institution of Engineers (India): Series A 103 (4), 1195-1208, 2022 | 62 | 2022 |
| Prediction of probability of liquefaction using hybrid ANN with optimization techniques DR Kumar, P Samui, A Burman Arabian Journal of Geosciences 15 (20), 1587, 2022 | 34 | 2022 |
| Buckling response of CNT based hybrid FG plates using finite element method and machine learning method R Kumar, A Kumar, DR Kumar Composite Structures 319, 117204, 2023 | 33 | 2023 |
| Soft-computing techniques for predicting seismic bearing capacity of strip footings in slopes DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ... Buildings 13 (6), 1371, 2023 | 29 | 2023 |
| Soft computing-based prediction models for compressive strength of concrete M Kumar, R Biswas, DR Kumar, P Samui, MR Kaloop, M Eldessouki Case Studies in Construction Materials 19, e02321, 2023 | 28 | 2023 |
| Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading DR Kumar, W Wipulanusat, M Kumar, S Keawsawasvong, P Samui Intelligent Systems with Applications 21, 200314, 2024 | 27 | 2024 |
| Metaheuristic models for the prediction of bearing capacity of pile foundation M Kumar, R Biswas, DR Kumar, T Pradeep, P Samui Geomechanics and Engineering 31 (2), 129-147, 2022 | 27 | 2022 |
| Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks W Jitchaijaroen, S Keawsawasvong, W Wipulanusat, DR Kumar, ... Intelligent Systems with Applications 21, 200329, 2024 | 25 | 2024 |
| Prediction of bearing capacity of pile foundation using deep learning approaches M Kumar, DR Kumar, J Khatti, P Samui, KS Grover Frontiers of Structural and Civil Engineering 18 (6), 870-886, 2024 | 22 | 2024 |
| Soft computing techniques for predicting penetration and uplift resistances of dual pipelines in cohesive soils DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ... Engineered Science 24 (7), 897, 2023 | 20 | 2023 |
| Liquefaction susceptibility using machine learning based on SPT data DR Kumar, P Samui, A Burman, W Wipulanusat, S Keawsawasvong Intelligent Systems with Applications 20, 200281, 2023 | 19 | 2023 |
| State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles M Kumar, P Samui, DR Kumar, PG Asteris Geomechanics and Geoengineering 19 (6), 975-990, 2024 | 16 | 2024 |
| Determination of best criteria for evaluation of liquefaction potential of soil DR Kumar, P Samui, A Burman Transportation Infrastructure Geotechnology 10 (6), 1345-1364, 2023 | 16 | 2023 |
| Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume S Kumar, DR Kumar, W Wipulanusat, S Keawsawasvong Journal of Building Engineering 94, 109844, 2024 | 15 | 2024 |
| Suitability assessment of the best liquefaction analysis procedure based on SPT data DR Kumar, P Samui, A Burman Multiscale and Multidisciplinary Modeling, Experiments and Design 6 (2), 319-329, 2023 | 15 | 2023 |
| Bearing capacity of eccentrically loaded footings on rock masses using soft computing techniques DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ... Engineered Science 24 (929), 929, 2023 | 15 | 2023 |
| An eXtreme Gradient Boosting prediction of uplift capacity factors for 3D rectangular anchors in natural clays DT Tran, T Onjaipurn, DR Kumar, W Chim-Oye, S Keawsawasvong, ... Earth Science Informatics 17 (3), 2027-2041, 2024 | 14 | 2024 |
| Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ... Earth Science Informatics 16 (4), 4153-4168, 2023 | 14 | 2023 |
| Seismically induced liquefaction potential assessment by different artificial intelligence procedures DR Kumar, P Samui, A Burman, S Kumar Transportation Infrastructure Geotechnology 11 (3), 1272-1293, 2024 | 11 | 2024 |
| Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay K Sangjinda, DR Kumar, S Keawsawasvong, W Wipulanusat, ... Advances in Engineering Software 193, 103668, 2024 | 10 | 2024 |
Professor Pijush SamuiProfessor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere UniversityZweryfikowany adres z nitp.ac.in