Детальная информация

"This book examines the impact of machine learning techniques on pattern recognition and information security"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• List of Contributors
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Chapter 1: Intelligent Vision-Based Systems for Public Safety and Protection via Machine Learning Techniques
• Chapter 2: Comparative Analysis of Various Soft Computing Technique-Based Automatic Licence Plate Recognition Systems
• Chapter 3: Impact of Syntactical and Statistical Pattern Recognition on Prognostic Reasoning
• Chapter 4: Challenges and Issues in Plant Disease Detection Using Deep Learning
• Chapter 5: Automatic Animal Detection and Collision Avoidance System (ADCAS) Using Thermal Camera
• Chapter 6: Distracted Driver Detection System Using Deep Learning Technique
• Chapter 7: Application of Deep Learning Model Convolution Neural Network for Effective Web Information Retrieval
• Chapter 8: Cosine Transformed Chaos Function and Block Scrambling-Based Image Encryption
• Chapter 9: An Improved Approach for Multiple Image Encryption Using Alternate Multidimensional Chaos and Lorenz Attractor
• Chapter 10: Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation
• Chapter 11: COVID-19 Detection Using Chest X-Ray and Transfer Learning
• Chapter 12: COVID-19-Related Predictions Using NER on News Headlines
• Chapter 13: Security Issues in Fog Computing and ML-Based Solutions
• Chapter 14: Intrusion Detection Systems
• Chapter 15: Vulnerability Assessment and Malware Analysis of Android Apps Using Machine Learning
• Chapter 16: Locally-Adaptive Naïve Bayes Framework Design via Density-Based Clustering for Large Scale Datasets
• Chapter 17: RFID Security Issues, Defenses, and Security Schemes
• Compilation of References
• About the Contributors
• Index