Детальная информация

"This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Acknowledgment
• Chapter 1: Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram
• Chapter 2: A Review on Deep Learning Applications
• Chapter 3: A Survey of Nature-Inspired Algorithms With Application to Well Placement Optimization
• Chapter 4: Artificial Intelligence Approach for Predicting TOC From Well Logs in Shale Reservoirs
• Chapter 5: Bidirectional GRU-Based Attention Model for Kid-Specific URL Classification
• Chapter 6: Classification of Fundus Images Using Neural Network Approach
• Chapter 7: Convolutional Graph Neural Networks
• Chapter 8: Deep Learning
• Chapter 9: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
• Chapter 10: Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder
• Chapter 11: Fake News Detection Using Deep Learning
• Chapter 12: Heuristic Optimization Algorithms for Power System Scheduling Applications
• Chapter 13: Multiobjective Optimization of a Biofuel Supply Chain Using Random Matrix Generators
• Chapter 14: Optimized Deep Learning System for Crop Health Classification Strategically Using Spatial and Temporal Data
• Chapter 15: Protein Secondary Structure Prediction Approaches
• Chapter 16: Recent Trends in the Use of Graph Neural Network Models for Natural Language Processing
• Chapter 17: Review on Particle Swarm Optimization Approach for Optimizing Wellbore Trajectory
• Compilation of References
• About the Contributors
• Index