Interpretable deep learning models for predicting the bearing capacity of strip footings on cohesionless sloping soil
Year: 2026
Type: article
Source: Engineering Computations
Institutions: Karadeniz Technical University, Texas A&M University
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7143746501
