Professor Pijush Samui

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Abidhan BardhanNIT PATNAE-mailová adresa ověřena na: nitp.ac.in
Dookie KimKongju National University; Kunsan National UniversityE-mailová adresa ověřena na: kongju.ac.kr
T G SitharamChairman, AICTE and former Director, Indian Institute of Technology Guwahati; professor at IIScE-mailová adresa ověřena na: iisc.ac.in
Danial Jahed Armaghani, PhDUniversity of Technology SydneyE-mailová adresa ověřena na: uts.edu.au
Avijit BurmanNational Institute of Technology, PatnaE-mailová adresa ověřena na: nitp.ac.in
Mosbeh R.KaloopProf., Mansoura universityE-mailová adresa ověřena na: mans.edu.eg
Sarat Dasnational institute of technology, rourkelaE-mailová adresa ověřena na: nitrkl.ac.in
Dr. Divesh ranjan kumarResearch scholarE-mailová adresa ověřena na: tu.ac.th
Dr. Deepak kumar, PhDNIT patnaE-mailová adresa ověřena na: nitp.ac.in
Navid KardaniPhD, RMIT UniversityE-mailová adresa ověřena na: rmit.edu.au
Panagiotis G. AsterisProfessor, School of Pedagogical and Technological Education, Athens, GreeceE-mailová adresa ověřena na: aspete.gr
Nhat-Duc HoangInstitute of Research and Development, Faculty of Civil Engineering, Duy Tan University, VietnamE-mailová adresa ověřena na: duytan.edu.vn
Dr. Baboo RaiProfessor, National Institute of Technology PatnaE-mailová adresa ověřena na: nitp.ac.in
Jagan JAssistant Professor, Galgotias UniversityE-mailová adresa ověřena na: galgotiasuniversity.edu.in
Rahul BiswasAssistant Professor in Department of Applied Mechanics in VNIT NagpurE-mailová adresa ověřena na: apm.vnit.ac.in
Dr. Manish KumarSRMIST, Trichy, Assistant professorE-mailová adresa ověřena na: srmist.edu.in
Prof. (Dr.) Sunita KumariProfessor, Department of Civil Engg., National Institute of Technology PatnaE-mailová adresa ověřena na: nitp.ac.in
Pradeep KurupUniversity of Massachusetts LowellE-mailová adresa ověřena na: uml.edu
Professor Ravinesh Deo, Highly Cited...Professor in Mathematics and Artificial IntelligenceE-mailová adresa ověřena na: usq.edu.au
Ngo Thi Phuong ThaoHanoi University of Mining and GeologyE-mailová adresa ověřena na: humg.edu.vn

Sledovat

Professor Pijush Samui

Professor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere University

E-mailová adresa ověřena na: nitp.ac.in

Earthquake Soft Computing artificial intelligence Geotechnical Engineering


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	422	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	376	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	314	2019
Support vector machine applied to settlement of shallow foundations on cohesionless soils P Samui Computers and Geotechnics 35 (3), 419-427, 2008	277	2008
Slope stability analysis: a support vector machine approach P Samui Environmental Geology 56, 255-267, 2008	235	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	203	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	176	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	175	2020
Machine learning modelling for predicting soil liquefaction susceptibility P Samui, TG Sitharam Natural Hazards and Earth System Sciences 11 (1), 1-9, 2011	155	2011
Utilization of a least square support vector machine (LSSVM) for slope stability analysis P Samui, DP Kothari Scientia Iranica 18 (1), 53-58, 2011	152	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	150	2020
Forecasting monthly precipitation using sequential modelling D Kumar, A Singh, P Samui, RK Jha Hydrological sciences journal 64 (6), 690-700, 2019	150	2019
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	149	2016
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	142	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	135	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	121	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	121	2020
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	114	2021
Informatics for materials science and engineering: data-driven discovery for accelerated experimentation and application K Rajan Butterworth-Heinemann, 2013	114	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	113	2013

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