Articles
Bulletin of Computational Intelligence
Scope, Challenges, and Future of Agentic AI in Geotechnical and Earthquake Engineering: A Critical Review
Ishwor Thapa, Rojan Subedi, Garima Shrestha, Sundar Adhikari, Pratik Rana Magar, Bishwash Poudel
2026, 2(4): 291–317. doi: 10.53941/bci.2026.100016
Explainable Hybridized Machine Learning for Prediction of Compressive Strength of Fly-Ash based Geopolymer Concrete
Ajaya Subedi, Subodh Subedi, Sabin Adhikari, Parth Gajjar, Sagar Sapkota
2026, 2(2): 213–234. doi: 10.53941/bci.2026.100012
Hybrid Artificial Neural Network Models for Predicting Flexural Strength of FRP-Reinforced Concrete Beams
Mudassir Iqbal, Muhammad Raheel, Rahul Biswas
2026, 2(2): 196–212. doi: 10.53941/bci.2026.100011
An Efficient Meta-Ensemble Paradigm for Modelling Poisson’s Ratio and Maximum Horizontal Stress in Casing Collapse Hazard
Abidhan Bardhan, Navid Kardani
2026, 2(2): 146–163. doi: 10.53941/bci.2026.100008
Explainable Predictive Modelling of Sustainable Slag–Fly Ash Based Geopolymer Concrete with Life Cycle and Carbon-Neutrality Assessment
Saad Shamim Ansari, Mohd Asif Ansari, Syed Muhammad Ibrahim
2026, 2(1): 54–82. doi: 10.53941/bci.2026.100004
Dynamic Response of SDoF System with Negative Stiffness—A Relevant Key-Point for Machine Learning
Nikoleta Chatzikonstantinou, Triantafyllos Makarios
2026, 2(1): 31–53. doi: 10.53941/bci.2026.100003
Prediction of Chloride Resistance Level in Concrete Using Optimized Tree-Based Machine Learning Models
Ali Benzaamia, Mohamed Ghrici, Redouane Rbouh, Ahmed Abdelghafour Ghrici, Panagiotis G. Asteris
2025, 1(1): 104–117. doi: 10.53941/bci.2025.100007
Intelligent Data Driven Ensemble Approaches for Bending Strength Prediction of Ultra-High Performance Concrete Beams
Kennedy Silewu, Charles Kahanji, Lenganji Simwanda, Miroslav Sykora
2025, 1(1): 31–52. doi: 10.53941/bci.2025.100003
