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