Hybrid Artificial Neural Network Models for Predicting Flexural Strength of FRP-Reinforced Concrete Beams

An Integrated Multi-Criteria Risk-Assessment Framework for Rockburst in Underground Construction

Optimized Noise Suppression of Acceleration Records from Shaking-Table Tests Using Signal Processing and Deep Learning Techniques

An Efficient Meta-Ensemble Paradigm for Modelling Poisson’s Ratio and Maximum Horizontal Stress in Casing Collapse Hazard

Addressing Postgraduate Supervision Bottlenecks Through Automated Structural and Formatting Feedback for Research Proposals

Development of Interpretable Regression Models for Slope Stability of Nano-Silica Stabilised Soils in Mountainous Terrain

Predicting the Compressive Strength of Fly Ash Composite Foam Concrete Using Artificial Neural Networks and Soft Computing Techniques

Explainable Predictive Modelling of Sustainable Slag–Fly Ash Based Geopolymer Concrete with Life Cycle and Carbon-Neutrality Assessment

Dynamic Response of SDoF System with Negative Stiffness—A Relevant Key-Point for Machine Learning

Hybrid Data-Driven and Explainable Modeling of Compressive Strength in GGBFS–MRP Concrete with Environmental Optimization

Prediction and Surface Roughness Optimization in Die-Sinking EDM of AA 5083 Using RSM and Swarm Intelligence Algorithms

Prediction of Chloride Resistance Level in Concrete Using Optimized Tree-Based Machine Learning Models

Climate Change Impact on Hydropower: A Comparative Study of SWAT and BiLSTM-Based River Discharge Forecasting in the Sunkoshi River Basin, Nepal

DeepONet for the Prediction of Failure Response of a Two-Dimensional Fibre-Reinforced Composite Plate

Assessment of Bearing Capacity of Concrete Piles in Alluvial Soils Using Bio and Swarm-Optimized Artificial Neural Network Models

Intelligent Data Driven Ensemble Approaches for Bending Strength Prediction of Ultra-High Performance Concrete Beams