Artificial Intelligence and Soft Computing

Table of Contents

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   Book Overview
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   Chapter 1 A Synergy of Freezing and Dropout - A New Learning Strategy of Convolutional Networks
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   Chapter 2 A New Algorithm with a Line Search for Feedforward Neural Networks Training
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   Chapter 3 Fast Conjugate Gradient Algorithm for Feedforward Neural Networks
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   Chapter 4 Comparison of Text Classification Methods for Government Documents
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   Chapter 5 DeepCloud: An Investigation of Geostationary Satellite Imagery Frame Interpolation for Improved Temporal Resolution
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   Chapter 6 Are Direct Links Necessary in Random Vector Functional Link Networks for Regression?
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   Chapter 7 Artificial Intelligent Methods for the Location of Vortex Points
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   Chapter 8 Optimal Fog Services Placement in SDN IoT Network Using Random Neural Networks and Cognitive Network Map
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    Chapter 9 Building Best Predictive Models Using ML and DL Approaches to Categorize Fashion Clothes
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    Chapter 10 Method of Real Time Calculation of Learning Rate Value to Improve Convergence of Neural Network Training
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    Chapter 11 Application of an Improved Focal Loss in Vehicle Detection
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    Chapter 12 Concept Drift Detection Using Autoencoders in Data Streams Processing
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    Chapter 14 Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks
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    Chapter 15 On the Similarity Between Neural Network and Evolutionary Algorithm
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    Chapter 16 3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces
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    Chapter 17 Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow
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    Chapter 18 6D Pose Estimation of Texture-Less Objects on RGB Images Using CNNs
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    Chapter 19 Application of Neural Networks and Graphical Representations for Musical Genre Classification
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    Chapter 20 Deep Learning with Data Augmentation for Fruit Counting
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    Chapter 21 Approximation of Fractional Order Dynamic Systems Using Elman, GRU and LSTM Neural Networks
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    Chapter 22 A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
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    Chapter 23 Intestinal Parasites Classification Using Deep Belief Networks
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    Chapter 24 Speaker Recognition Using SincNet and X-Vector Fusion
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    Chapter 25 Multiobjective Evolution for Convolutional Neural Network Architecture Search
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    Chapter 26 Neural Network Subgraphs Correlation with Trained Model Accuracy
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    Chapter 27 Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis
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    Chapter 28 Generative Modeling in Application to Point Cloud Completion
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    Chapter 29 A Numerical Solution of Fully Fuzzy Distribution Problem
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    Chapter 30 Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
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    Chapter 31 Application of Time Series Analysis and Forecasting Methods for Enterprise Decision-Management
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    Chapter 32 Face Recognition with Explanation by Fuzzy Rules and Linguistic Description
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    Chapter 33 Redefinition of Intuitionistic Fuzzy TOPSIS Method in the Framework of Evidence Theory
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    Chapter 34 On the Performance and Complexity of Crossover in Differential Evolution Algorithm
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    Chapter 35 Obstacle Avoidance for Drones Based on the Self-Organizing Migrating Algorithm
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    Chapter 36 An Empirical Evaluation of Global Fitness Surrogate Models in Evolutionary Computation
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    Chapter 37 Automatic Story Generation Based on Graph Model Using Godot Engine
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    Chapter 38 Cascade PID Controller Optimization Using Bison Algorithm
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    Chapter 39 Optimization of the Values of Classifiers Parameters – Is it Still Worthwhile to Deal with it?
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    Chapter 40 A Population-Based Method with Selection of a Search Operator
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    Chapter 41 A Markov Process Approach to Redundancy in Genetic Algorithms
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    Chapter 42 Fuzzy Control of Exploration and Exploitation Trade-Off with On-Line Convergence Rate Estimation in Evolutionary Algorithms
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    Chapter 43 An Improved Local Search Genetic Algorithm with Multi-crossover for Job Shop Scheduling Problem
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    Chapter 44 Signature Partitioning Using Selected Population-Based Algorithms
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    Chapter 45 Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks
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    Chapter 47 Visualization of Membership Distribution in Strings Using Heat Maps
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    Chapter 48 Random Projection in the Presence of Concept Drift in Supervised Environments
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    Chapter 49 Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network
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    Chapter 50 Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI
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    Chapter 51 A Mathematical Model for Optimum Error-Reject Trade-Off for Learning of Secure Classification Models in the Presence of Label Noise During Training
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    Chapter 52 Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm
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    Chapter 53 Particle Classification Based on Movement Behavior in IPSO Stochastic Model
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    Chapter 54 Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification
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    Chapter 55 The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance
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    Chapter 56 Predicting Coronary Artery Calcium Score from Retinal Fundus Photographs Using Convolutional Neural Networks
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    Chapter 57 Mesh Geometric Parameters for Modeling Signal Transmission in the Presynaptic Bouton
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    Chapter 58 Instance Segmentation of Densely Packed Cells Using a Hybrid Model of U-Net and Mask R-CNN
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    Chapter 59 Blue-White Veil Classification in Dermoscopy Images of the Skin Lesions Using Convolutional Neural Networks
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    Chapter 60 Automatic Generation of Parallel Cache-Efficient Code Implementing Zuker’s RNA Folding
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    Chapter 61 Semantic Classifier Approach to Document Classification
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    Chapter 62 A Parallel and Distributed Topological Approach to 3D IC Optimal Layout Design
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    Chapter 63 From Victim to Survivor: A Multilayered Adaptive Mental Network Model of a Bully Victim
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    Chapter 64 Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning
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    Chapter 65 Empirical Mode Decomposition Based Data Augmentation for Time Series Prediction Using NARX Network
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    Chapter 66 Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods