Modeling Static Liquefaction Susceptibility of Saturated Clayey Sand using Advanced Machine-Learning techniques DOI
Sonia Alioua, Ahmed Arab, Mohammed Amin‎ Benbouras

et al.

Transportation Infrastructure Geotechnology, Journal Year: 2024, Volume and Issue: 11(5), P. 2903 - 2931

Published: April 27, 2024

Language: Английский

Revealing the nature of soil liquefaction using machine learning DOI Creative Commons
Sufyan Ghani, Ishwor Thapa,

Amrendra Kumar

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 21, 2025

Language: Английский

Citations

3

Optimizing high-strength concrete compressive strength with explainable machine learning DOI Creative Commons
Sanjog Chhetri Sapkota,

Christina Panagiotakopoulou,

Dipak Dahal

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)

Published: Feb. 3, 2025

Language: Английский

Citations

2

Enhancing bond performance in SRC structures: a computational approach using ensemble learning techniques and sequential analysis DOI
Megha Gupta,

Satya Prakash,

Sufyan Ghani

et al.

Asian Journal of Civil Engineering, Journal Year: 2024, Volume and Issue: 25(4), P. 3329 - 3347

Published: Feb. 6, 2024

Language: Английский

Citations

11

Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting DOI
Xiaohua Ding, Mahdi Hasanipanah, Dmitrii Vladimirovich Ulrikh

et al.

Natural Resources Research, Journal Year: 2024, Volume and Issue: 33(3), P. 1349 - 1363

Published: March 11, 2024

Language: Английский

Citations

11

Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models DOI
Ishwor Thapa, Sufyan Ghani

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(4), P. 5079 - 5102

Published: May 31, 2024

Language: Английский

Citations

10

Applications of Dynamic Cone Penetration Test for Estimating Liquefaction Susceptibility Using Machine Learning Paradigms DOI

Shubhendu Vikram Singh,

Sufyan Ghani

Transportation Infrastructure Geotechnology, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 1, 2025

Language: Английский

Citations

1

Evaluating Discharge Coefficient of Rectangular Sharp Crested Weirs Using Machine Learning Models DOI
Matasha Dhar, Sanjog Chhetri Sapkota, Prasenjit Saha

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1

Explainable hybridized ensemble machine learning for the prognosis of the compressive strength of recycled plastic-based sustainable concrete with experimental validation DOI
Sanjog Chhetri Sapkota, Ajay Yadav,

Ajaya Khatri

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 7(6), P. 6073 - 6096

Published: Aug. 21, 2024

Language: Английский

Citations

7

Reliability Analysis of Pile Foundation in Cohesionless Soil Using Machine Learning Techniques DOI

Rashid Mustafa,

Md Talib Ahmad

Transportation Infrastructure Geotechnology, Journal Year: 2024, Volume and Issue: 11(4), P. 2671 - 2699

Published: April 18, 2024

Language: Английский

Citations

6

Advancing earth science in geotechnical engineering: A data-driven soft computing technique for unconfined compressive strength prediction in soft soil DOI
Ishwor Thapa, Sufyan Ghani

Journal of Earth System Science, Journal Year: 2024, Volume and Issue: 133(3)

Published: Aug. 17, 2024

Language: Английский

Citations

5