Handbook of research on machine learning techniques for pattern recognition and information security:
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| 245 | 1 | 0 | |a Handbook of research on machine learning techniques for pattern recognition and information security |c Mohit Dua (National Institute of Technology, Kurukshetra, India), Ankit Kumar Jain (National Institute of Technology, Kurukshetra, India) |
| 246 | 1 | 3 | |a Machine learning techniques for pattern recognition and information security |
| 264 | 1 | |a Hershey PA, USA |b IGI Global, Publisher of Timely Knowledge |c [2021] | |
| 264 | 4 | |c © 2021 | |
| 300 | |a 1 Online-Ressource (xxiv, 355 Seiten) |b Illustrationen | ||
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| 490 | 0 | |a A volume in the Advances in computational intelligence and robotics (ACIR) book series |x 2327-042X | |
| 505 | 8 | |a 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 | |
| 520 | 3 | |a "This book examines the impact of machine learning techniques on pattern recognition and information security" - Provided by publisher | |
| 653 | 0 | |a Database security | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Pattern recognition systems | |
| 653 | 0 | |a Database security | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Pattern recognition systems | |
| 700 | 1 | |a Dua, Mohit |d 1982- |4 edt | |
| 700 | 1 | |a Jain, Ankit Kumar |d 1986- |4 edt | |
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Datensatz im Suchindex
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| author2 | Dua, Mohit 1982- Jain, Ankit Kumar 1986- |
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| author_facet | Dua, Mohit 1982- Jain, Ankit Kumar 1986- |
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| 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 |
| ctrlnum | (ZDB-98-IGB)978-1-7998-3301-7 (OCoLC)1257812139 (DE-599)BVBBV047326814 |
| doi_str_mv | 10.4018/978-1-7998-3299-7 |
| format | Electronic eBook |
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| id | DE-604.BV047326814 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:16:18Z |
| institution | BVB |
| isbn | 9781799833017 |
| issn | 2327-042X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032729423 |
| oclc_num | 1257812139 |
| open_access_boolean | |
| owner | DE-1049 DE-898 DE-BY-UBR DE-91 DE-BY-TUM DE-706 DE-1050 DE-573 DE-83 |
| owner_facet | DE-1049 DE-898 DE-BY-UBR DE-91 DE-BY-TUM DE-706 DE-1050 DE-573 DE-83 |
| physical | 1 Online-Ressource (xxiv, 355 Seiten) Illustrationen |
| psigel | ZDB-1-IGE ZDB-98-IGB ZDB-1-IGE ZDB-1-IGE21 ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | IGI Global, Publisher of Timely Knowledge |
| record_format | marc |
| series2 | A volume in the Advances in computational intelligence and robotics (ACIR) book series |
| spellingShingle | Handbook of research on machine learning techniques for pattern recognition and information security 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 |
| title | Handbook of research on machine learning techniques for pattern recognition and information security |
| title_alt | Machine learning techniques for pattern recognition and information security |
| title_auth | Handbook of research on machine learning techniques for pattern recognition and information security |
| title_exact_search | Handbook of research on machine learning techniques for pattern recognition and information security |
| title_full | Handbook of research on machine learning techniques for pattern recognition and information security Mohit Dua (National Institute of Technology, Kurukshetra, India), Ankit Kumar Jain (National Institute of Technology, Kurukshetra, India) |
| title_fullStr | Handbook of research on machine learning techniques for pattern recognition and information security Mohit Dua (National Institute of Technology, Kurukshetra, India), Ankit Kumar Jain (National Institute of Technology, Kurukshetra, India) |
| title_full_unstemmed | Handbook of research on machine learning techniques for pattern recognition and information security Mohit Dua (National Institute of Technology, Kurukshetra, India), Ankit Kumar Jain (National Institute of Technology, Kurukshetra, India) |
| title_short | Handbook of research on machine learning techniques for pattern recognition and information security |
| title_sort | handbook of research on machine learning techniques for pattern recognition and information security |
| url | https://doi.org/10.4018/978-1-7998-3299-7 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3299-7 |
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