Theo dơi
Professor Pijush Samui
Professor Pijush Samui
Professor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere University
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
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
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
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
Support vector machine applied to settlement of shallow foundations on cohesionless soils
P Samui
Computers and Geotechnics 35 (3), 419-427, 2008
Slope stability analysis: a support vector machine approach
P Samui
Environmental Geology 56, 255-267, 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
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
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
Utilization of a least square support vector machine (LSSVM) for slope stability analysis
P Samui, DP Kothari
Scientia Iranica 18 (1), 53-58, 2011
Machine learning modelling for predicting soil liquefaction susceptibility
P Samui, TG Sitharam
Natural Hazards and Earth System Sciences 11 (1), 1-9, 2011
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
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
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
Forecasting monthly precipitation using sequential modelling
D Kumar, A Singh, P Samui, RK Jha
Hydrological sciences journal 64 (6), 690-700, 2019
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
Multivariate adaptive regression spline (Mars) for prediction of elastic modulus of jointed rock mass
P Samui
Geotechnical and Geological Engineering 31, 249-253, 2013
Informatics for materials science and engineering: data-driven discovery for accelerated experimentation and application
K Rajan
Butterworth-Heinemann, 2013
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
Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO
N Kardani, A Bardhan, D Kim, P Samui, A Zhou
Journal of Building Engineering 35, 102105, 2021
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
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