Details
| Title | Handbook of research on machine learning techniques for pattern recognition and information security |
|---|---|
| Other creators | Dua Mohit ; Jain Ankit Kumar |
| Organization | IGI Global, |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Database security. ; Machine learning. ; Pattern recognition systems. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1253443853 |
| Record create date | 5/30/2021 |
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| Group | Anonymous |
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| Network | Internet |
"This book examines the impact of machine learning techniques on pattern recognition and information security"--.
| Network | User group | Action |
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| Internet | Authorized users SPbPU |
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- 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
