New Advances in Soft Computing in Civil Engineering

Introduction to Data Analysis and Machine Learning Applications in Civil Engineering.- Application of Artificial Intelligence (AI) in Civil Engineering.- Machine Learning Applications in Structural Engineering.- A Multi Objective Optimal Design Process for Determination of Link Capacity Expansions.- IoT with Deep Learning in Pipeline Risk Estimation Using Smart Cities Development.- Forecasting of Lake Level by Soft Computing Approaches.- Structural health monitoring using artificial intelligence Challenges, advances and applications.- Optimizing Tuned Mass Damper by Examining Displacement Ratios with and without TMD System.- Evaluation of Predictive Models for Mechanical Properties of Earth Based Composites for Sustainable Building Applications.- Shear Wall Cost Optimization by Employing Harmony Search.- Effect of CatBoost Parameters on Cost Minimiza-tion of Rectangular Section Reinforced Concrete Co lumns Under Uniaxial Bending Effect.- Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP Reinforced Concrete Elements: A Comprehensive Review.- A modified Jaya algorithm for optimum design of carbon fiber reinforced polymers.- Prediction of bi-linear strength envelope of unsaturated brazilian soils using machine learning techniques.- Assessment of Unconfined Compressive Strength of Stabilized Soil using Artificial Intelligence Tools A Scientometrics Review.- A Review of Deformations Prediction for Oil and Gas Pipelines using Machine and Deep Learning.- Determination of the Effect of XGBoost's Parameters on a Structural Problem.- Area Optimization of Bending Members with Different Shapes in terms of Pure Bending.- A simplified flower pollination algorithm for structural optimization of trusses.- Investigation of the effect of initial parameters on the performance of metaheuristic algorithms on a structural engineering problem.- Geospatial Multi Criteria Decision Framework for Sanitary Landfill Site Selection in New Delhi, India.- Comparing Classification Algorithms for Predicting Spatial Land Cover via Landscape Indices in Nashik, India.