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1
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Introduction and Overview: Hybrid Metaheuristics in Structural Engineering—Including Machine Learning Applications
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1
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Likelihood Ratios in Forensics: What They Are and What They Are Not
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2
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MANOVA for Large Number of Treatments
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2
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The Development of Hybrid Metaheuristics in Structural Engineering
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3
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Pollutant Dispersion Simulation by Means of a Stochastic Particle Model and a Dynamic Gaussian Plume Model
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3
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Optimum Design of Reinforced Concrete Columns in Case of Fire
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4
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Hybrid Social Network Search and Material Generation Algorithm for Shape and Size Optimization of Truss Structures
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4
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On an Alternative Trigonometric Strategy for Statistical Modeling
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5
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Development of a Hybrid Algorithm for Optimum Design of a Large-Scale Truss Structure
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5
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Incremental Construction of Nested Designs Based on Two-Level Fractional Factorial Designs
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6
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Structural Control Systems and Tuned Mass Damper Optimization by Using Jaya and Hybrid Algorithms
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6
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A Study of <italic>L</italic>-Optimal Designs for the Two-Dimensional Exponential Model
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7
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Manta Ray Foraging and Jaya Hybrid Optimization of Concrete Filled Steel Tubular Stub Columns Based on CO<sub>2</sub> Emission
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7
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Testing for Randomized Block Single-Case Designs by Combined Permutation Tests with Multivariate Mixed Data
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8
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Optimum Design of Dam Structures Using Multi-objective Chaos Game Optimization Algorithm
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8
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Adaptive Design Criteria Motivated by a Plug-In Percentile Estimator
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9
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The State of Art in Machine Learning Applications in Civil Engineering
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9
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On a Parametric Estimation for a Convolution of Exponential Densities
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10
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Machine Learning Application of Structural Engineering Problems
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10
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Statistical Estimation with a Known Quantile and Its Application in a Modified ABC-XYZ Analysis
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10
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Circuit Optimization for 2D and 3D ICs with Machine Learning
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11
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Modeling Civil Engineering Problems via Hybrid Versions of Machine Learning and Metaheuristic Optimization Algorithms
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11
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A Study of Design of Experiments and Machine Learning Methods to Improve Fault Detection Algorithms
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12
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Microstructure Image Segmentation Using Patch-Based Clustering Approach
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12
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Comparison of Multilayer Perceptron and Other Methods for Prediction of Sustainable Optimum Design of Reinforced Concrete Columns
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13
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Clustering and Symptom Analysis in Binary Data with Application
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13
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Artificial Intelligence and Deep Learning in Civil Engineering
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14
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Big Data for Credit Risk Analysis: Efficient Machine Learning Models Using PySpark
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14
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Deep Learning-Based Framework for Reconstruction and Optimisation of Building Information Models Containing Parametric Rules
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1
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Statistical Similarity in Machine Learning
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11
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Development of ML‐Based Methodologies for Adaptive Intelligent E‐Learning Systems and Time Series Analysis Techniques
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31
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Time‐Series Forecasting for Stock Market Using Convolutional Neural Network
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49
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Comparative Study for Applicability of Color Histograms for CBIR Used for Crop Leaf Disease Detection
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69
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Stock Index Forecasting Using RNN‐Long Short‐Term Memory
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85
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Study and Analysis of Machine Learning Models for Detection of Phishing URLs
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97
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Real‐World Applications of BC Technology in Internet of Things
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123
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Advanced Persistent Threat
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145
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Integration of Blockchain Technology and Internet of Things
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161
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Machine Learning Techniques for SWOT Analysis of Online Education System
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183
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Crop Yield and Soil Moisture Prediction Using Machine Learning Algorithms
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195
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Multirate Signal Processing in WSN for Channel Capacity and Energy Efficiency Using Machine Learning
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207
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Introduction to Mechanical Design of AI‐Based Robotic System
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219
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Index
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i
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Front Matter
