| Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models PG Asteris, AD Skentou, A Bardhan, P Samui, K Pilakoutas Cement and Concrete Research 145, 106449, 2021 | 359 | 2021 |
| A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area DT Bui, ND Hoang, F Martínez-Álvarez, PTT Ngo, PV Hoa, TD Pham, ... Science of The Total Environment 701, 134413, 2020 | 352 | 2020 |
| A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping DT Bui, PTT Ngo, TD Pham, A Jaafari, NQ Minh, PV Hoa, P Samui Catena 179, 184-196, 2019 | 287 | 2019 |
| Support vector machine applied to settlement of shallow foundations on cohesionless soils P Samui Computers and Geotechnics 35 (3), 419-427, 2008 | 266 | 2008 |
| Slope stability analysis: a support vector machine approach P Samui Environmental Geology 56, 255-267, 2008 | 221 | 2008 |
| Assessment of pile drivability using random forest regression and multivariate adaptive regression splines W Zhang, C Wu, Y Li, L Wang, P Samui Georisk: Assessment and Management of Risk for Engineered Systems and …, 2021 | 194 | 2021 |
| Application of artificial intelligence to maximum dry density and unconfined compressive strength of cement stabilized soil SK Das, P Samui, AK Sabat Geotechnical and Geological Engineering 29, 329-342, 2011 | 165 | 2011 |
| Compressive strength prediction of high-performance concrete using gradient tree boosting machine MR Kaloop, D Kumar, P Samui, JW Hu, D Kim Construction and Building Materials 264, 120198, 2020 | 152 | 2020 |
| Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models RC Deo, P Samui, D Kim Stochastic Environmental Research and Risk Assessment 30, 1769-1784, 2016 | 147 | 2016 |
| Utilization of a least square support vector machine (LSSVM) for slope stability analysis P Samui, DP Kothari Scientia Iranica 18 (1), 53-58, 2011 | 147 | 2011 |
| Machine learning modelling for predicting soil liquefaction susceptibility P Samui, TG Sitharam Natural Hazards and Earth System Sciences 11 (1), 1-9, 2011 | 145 | 2011 |
| Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area VH Nhu, ND Hoang, H Nguyen, PTT Ngo, TT Bui, PV Hoa, P Samui, ... Catena 188, 104458, 2020 | 139 | 2020 |
| Forecasting monthly precipitation using sequential modelling D Kumar, A Singh, P Samui, RK Jha Hydrological sciences journal 64 (6), 690-700, 2019 | 138 | 2019 |
| A novel hybrid swarm optimized multilayer neural network for spatial prediction of flash floods in tropical areas using sentinel-1 SAR imagery and geospatial data PTT Ngo, ND Hoang, B Pradhan, QK Nguyen, XT Tran, QM Nguyen, ... Sensors 18 (11), 3704, 2018 | 135 | 2018 |
| Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination … DT Bui, ND Hoang, P Samui Journal of environmental management 237, 476-487, 2019 | 125 | 2019 |
| A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil N Kardani, A Bardhan, P Samui, M Nazem, A Zhou, DJ Armaghani Engineering with Computers, 1-20, 2022 | 113 | 2022 |
| Forecasting heating and cooling loads of buildings: A comparative performance analysis SS Roy, P Samui, I Nagtode, H Jain, V Shivaramakrishnan, ... Journal of Ambient Intelligence and Humanized Computing 11, 1253-1264, 2020 | 113 | 2020 |
| Informatics for materials science and engineering: data-driven discovery for accelerated experimentation and application K Rajan Butterworth-Heinemann, 2013 | 111 | 2013 |
| Multivariate adaptive regression spline (Mars) for prediction of elastic modulus of jointed rock mass P Samui Geotechnical and Geological Engineering 31, 249-253, 2013 | 109 | 2013 |
| Application of soft computing techniques for shallow foundation reliability in geotechnical engineering R Ray, D Kumar, P Samui, LB Roy, ATC Goh, W Zhang Geoscience Frontiers 12 (1), 375-383, 2021 | 107 | 2021 |
Dookie Kim 김두기Kongju National University; Kunsan National UniversityVerified email at kongju.ac.kr
