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Leveraging Neural Networks and Explainable AI for Cost-Effective Retaining Wall Design

Year: 2025

Type: article

Abstract: Retaining walls are utilized to support the earth and prevent the soil from spreading with natural slope angles where there are differences in the elevation of ground surfaces. As the need for retaining structures increases, ... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.063909

Authors: Gebrail Bekdaş, Yaren Aydın, Celal Cakiroglu, Umit Işıkdağ

Institutions: Eastern Michigan University, Mimar Sinan Güzel Sanatlar Üniversitesi, Istanbul University-Cerrahpaşa, Istanbul University

Language: English

Topic: Geotechnical Engineering and Analysis

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409295778

FWCI: 1.191

Cites: 42

Cited by: 2

Related to: 10