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Handbook of research on machine learning techniques for pattern recognition and information security/ Mohit Dua, Ankit Kumar Jain, editors.
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| dc.contributor.author | Dua Mohit | |
| dc.contributor.author | Jain Ankit Kumar | |
| dc.date.accessioned | 2024-01-29T21:50:16Z | |
| dc.date.available | 2024-01-29T21:50:16Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Handbook of research on machine learning techniques for pattern recognition and information security - 1 online resource (26 PDFs (355 pages)) - URL: https://libweb.kpfu.ru/ebsco/pdf/2939945.pdf | |
| dc.identifier.isbn | 1799833011 | |
| dc.identifier.isbn | 9781799833017 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/179978 | |
| dc.description | Includes bibliographical references and index. | |
| dc.description.abstract | "This book examines the impact of machine learning techniques on pattern recognition and information security"-- | |
| dc.description.tableofcontents | 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. | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.subject.other | Database security. | |
| dc.subject.other | Machine learning. | |
| dc.subject.other | Pattern recognition systems. | |
| dc.subject.other | Pattern recognition systems. | |
| dc.subject.other | Machine learning. | |
| dc.subject.other | Database security. | |
| dc.subject.other | Electronic books. | |
| dc.title | Handbook of research on machine learning techniques for pattern recognition and information security/ Mohit Dua, Ankit Kumar Jain, editors. | |
| dc.type | Book | |
| dc.contributor.org | IGI Global, | |
| dc.description.pages | 1 online resource (26 PDFs (355 pages)) | |
| dc.collection | Электронно-библиотечные системы | |
| dc.source.id | EN05CEBSCO05C728 |
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