Handbook of research on machine learning techniques for pattern recognition and information security

Handbook of research on machine learning techniques for pattern recognition and information security

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

Bibliographic Details
Other Authors: Dua, Mohit, 1982-, Jain, Ankit Kumar, 1986-
Format: eBook
Language:English
Published: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global, 2020.
Subjects:
Database security.
Machine learning.
Pattern recognition systems.
EBSCO eBooks
Electronic books.
Online Access:EBSCOhost
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Table of Contents:
  • 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: current trends and future challenges
  • 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.

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