Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement

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Journal
Scientific Reports
Published
2026-04-30
DOI
https://doi.org/10.1038/s41598-026-50670-4
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
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article

Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement

Sabahat Hussan, Rohayu Che Omar, Abdullah Alzlfawi, Zia Ullah et al.
Scientific Reports
Geotechnical Engineering and Soil Mechanics
article

Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement

Sabahat Hussan, Rohayu Che Omar, Abdullah Alzlfawi, Zia Ullah, Shay Haq, Mohammad Al Zubi, Zsolt Tóth, Mahmood Ahmad, Shaikat Biswas, Abdur Rahman Rakib
article en

Abstract

No abstract available for this paper.
Scientific Reports
Balochistan University of Information Technology, Engineering and Management Sciences (PK), Troy University (US), Majmaah University (SA), University of Balochistan (PK), HITEC University (PK), Financial Research (Hungary) (HU), University of Science and Technology Bannu (PK), Universiti Tenaga Nasional (MY), Yarmouk University (JO), University of Sopron (HU), University of Engineering and Technology Peshawar (PK)
Soproni Egyetem
Openalex Percentile: Top 13%
Geotechnical Engineering and Soil Mechanics
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Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement — Sabahat Hussan, Rohayu Che Omar, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS