Enhancing earth dam slope stability prediction with integrated AI and statistical models

A Baghbani, RS Faradonbeh, Y Lu, A Soltani… - Applied Soft …, 2024 - Elsevier
This study introduces an innovative approach integrating artificial intelligence (AI) and
statistical modelling techniques to enhance the prediction of earth dam slope stability …

Effective thermal conductivity of ellipsoidal inclusion-reinforced composites: Data-driven prediction

T Meng, C Peng, R Wang, Y Feng - International Communications in Heat …, 2024 - Elsevier
The prediction of thermal conductivity of aligned arrangement ellipsoidal particles reinforced
composites is realized by a data-driven method based on machine learning models. The …

Enhancing Ultimate Bearing Capacity Prediction of Cohesionless Soils Beneath Shallow Foundations with Grey Box and Hybrid AI Models

K Kiany, A Baghbani, H Abuel-Naga, H Baghbani… - Algorithms, 2023 - mdpi.com
This study examines the potential of the soft computing technique, namely, multiple linear
regression (MLR), genetic programming (GP), classification and regression trees (CART) …

AI grey box model for alum sludge as a soil stabilizer: an accurate predictive tool

A Baghbani, MD Nguyen, B Kafle… - International Journal …, 2023 - Taylor & Francis
By using a grey box AI model, a comprehensive study is presented on the behaviour
prediction of alum sludge as a soil stabilizer. To creat models for predicting the California …

A Novel Approach Integrating Finite Element Method, Physics-Informed Neural Networks, and Explainable Optimization Techniques for Retaining Wall Analysis

K Kiany, A Baghbani, H Abuel-Naga, Y Lu - Physics-Informed Neural … - papers.ssrn.com
This paper delves into the intricate relationship between soil characteristics and the Factor of
Safety (FOS) concerning cantilever retaining walls, emphasizing the pressing necessity for …