Optimizing CNN, SVM, and MLP for Prediction of Compressive Strength of Concrete using Grid Search Optimization

Mechanics-Aware Machine Learning Classification of Reinforced Concrete Shear Wall Failure Modes Using Dimensional and Non-Dimensional Features

Predicting the response of a Double-Story Single-Bay (DSSB) RC Frame through hybrid FEA-ANN

Edge distance effects on the tensile behaviour of screw anchors installed in early age concrete: Experimental research and predictive model

Seismic Response and Frequency Degradation of Low-Rise RC Shear Walls: A Validated Nonlinear Model for Nuclear Structures

Nonlinear Stability of FG-GPLRC Shallow Annular Spherical Caps and Annular Plates Stiffened by Circumferential Stiffener System

126-140

A semi-analytical approach for nonlinear vibration of FG-CNTRC doubly curved shallow shells stiffened by FG-CNTRC stiffeners in thermal environment

Integration of Computer Vision, Microscopic Traffic Simulation and Heuristics for Optimizing Motorcycle-Dominated Signalized Intersections

141-155

Influence of cation type on chloride binding and phase assemblage evolution in saturated concrete: A reactive transport approach

156-177

Estimation of FWD Parameters for Evaluation of the Quality of Portland Cement Concrete Pavement

107-125

Forecasting Deep-Seated Landslide Displacements Using Machine Learning and Automated Monitoring Data

87-106

Experimental investigation of mechanical properties of coral concrete under cyclic compression

63-86

Unravelling the Complexity of Indian Roads: Semantic Segmentation with LinkNet-UNet for Autonomous Vehicle Scene Understanding

47-62

Laboratory assessment of fly ash in compressive strength, abrasion-resistant and low-carbon concrete for slope erosion control

31-46

Forensic Geotechnical Evaluation of Challenges in Constructing the Flood Protection Infrastructure (Wall) at Kadana Powerhouse, Gujarat, India

1-12

Sustainable Use of Coal Combustion Bottom Ash as A Fine Aggregate in Normal-Strength Concrete Production

Metaheuristic-Enhanced Machine Learning for Accurate Shear Strength Assessment of RC Deep Beams

13-30