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Handbook of research on machine learning techniques for pattern recognition and information security
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Handbook of research on machine learning techniques for pattern recognition and information security/ Mohit Dua, Ankit Kumar Jain, editors. |
| 개인저자 | Dua, Mohit,1982- editor, Jain, Ankit Kumar,1986- editor, |
| 단체저자명 | IGI Global,publisher. |
| 형태사항 | 1 online resource (26 PDFs (355 pages)). |
| 기타형태 저록 | Print version: 1799832996 9781799832997 |
| ISBN | 1799833011 9781799833017 |
| 기타표준부호 | 10.4018/978-1-7998-3299-7doi |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 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 nai?ve bayes framework design via density-based clustering for large scale datasets -- Chapter 17. RFID security issues, defenses, and security schemes. |
| 요약 | "This book examines the impact of machine learning techniques on pattern recognition and information security"-- |
| 해제 | Provided by publisher. |
| 일반주제명 | Database security. Machine learning. Pattern recognition systems. Pattern recognition systems. Machine learning. Database security. |
| 언어 | 영어 |
| 바로가기 |  |
