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 |
|