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AI for large scale communication net...
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Dhaya, R.
AI for large scale communication networks
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
AI for large scale communication networksR. Kanthavel, R. Dhaya, editors.
其他題名:
Artificial intelligence for large scale communication networks
其他作者:
Kanthavel, R.
出版者:
Hershey, Pennsylvania :IGI Global Scientific Publishing,2025.
面頁冊數:
1 online resource (xxvii, 506 p.) :ill.
標題:
Artificial intelligenceIndustrial applications.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6552-6
ISBN:
9798369365540$q(ebook)
AI for large scale communication networks
AI for large scale communication networks
[electronic resource] /Artificial intelligence for large scale communication networksR. Kanthavel, R. Dhaya, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxvii, 506 p.) :ill. - Advances in wireless technologies and telecommunication (AWTT) book series. - Advances in wireless technologies and telecommunication (AWTT) book series..
Includes bibliographical references and index.
Preface -- Chapter 1. AI Computing in Network Optimization -- Chapter 2. AI for Large-Scale Communication Networks -- Chapter 3. AI Solutions for Complex Communication Network Challenges -- Chapter 4. AI-Based Security Solutions forProtecting Communication Networks -- Chapter 5. An Extensive Analysis of Artificial Intelligence-Based Network Management in Software-Defined Networking (SDN) -- Chapter 6. Comparative Analysis of Traditional vs. AI-Driven Network Security-- Chapter 7. Exploring AI Computing: Applications, Challenges, and Future Trends -- Chapter 8. Finite Difference Time Domain Method to Investigate Electromagnetic Field Variation in Large-Scale Networks -- Chapter 9. Harmony Wave: ExploringSmart Music Therapy Through IoT, AI, and Fuzzy Logic -- Chapter 10. Leveraging Networked Artificial Intelligence for Healthcare Transformation -- Chapter 11. Optimizing Workplace Happiness: Integrating Artificial Intelligence for Employee Well-Being -- Chapter 12. Performance Metrics in Blockchain-Enabled AIML for Cognitive IoT in Large-Scale Networks: Optimizing Data Analytics for Enhanced Network Performance -- Chapter 13. Personalized Treatment and Patient Care Using AI--Chapter 14. Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI -- Chapter 15. Recommendation Systems and Content Personalization: Algorithms, Applications, and Adaptive Learning -- Chapter 16. Research Perspectives of AI in 5G and 6G -- Chapter 17. Research Review on AI-Powered 6G as Sixth-Sense Technologies -- Chapter 18. Scalability Issues in AI Computing in Large-Scale Networks -- Chapter 19. The Evolution of Personalization From Traditional Marketing to AI Computing -- Compilation of References -- About the Contributors -- Index.
"Artificial Intelligence (AI) is rapidly becoming essential to large-scale communication networks. Driven by the need for greater efficiency, security, and optimization, AI has evolved into a powerful tool that processes vast data and delivers insights through real-time processing, predictive analysis, and adaptive learning. Because these advancements transform how we interact with data and services, applying AI to complex networks has never been more essential. AI for Large Scale Communication Networks explores how AI can enhance network performance, scalability, and security. With contributions from experts, this book covers topics such as algorithm optimization, machine learning improvements, and neural network applications. It also addresses critical challenges like fault tolerance and distributed computing, emphasizing the need for interdisciplinary collaboration. Designed for academics, practitioners, and students, this resource provides actionable insights and strategies to optimize communication networks using AI."--
Mode of access: World Wide Web.
ISBN: 9798369365540$q(ebook)Subjects--Topical Terms:
524554
Artificial intelligence
--Industrial applications.Subjects--Index Terms:
5G and 6G.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: TK5105.5 / .A34 2025eb
Dewey Class. No.: 004.6
AI for large scale communication networks
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Preface -- Chapter 1. AI Computing in Network Optimization -- Chapter 2. AI for Large-Scale Communication Networks -- Chapter 3. AI Solutions for Complex Communication Network Challenges -- Chapter 4. AI-Based Security Solutions forProtecting Communication Networks -- Chapter 5. An Extensive Analysis of Artificial Intelligence-Based Network Management in Software-Defined Networking (SDN) -- Chapter 6. Comparative Analysis of Traditional vs. AI-Driven Network Security-- Chapter 7. Exploring AI Computing: Applications, Challenges, and Future Trends -- Chapter 8. Finite Difference Time Domain Method to Investigate Electromagnetic Field Variation in Large-Scale Networks -- Chapter 9. Harmony Wave: ExploringSmart Music Therapy Through IoT, AI, and Fuzzy Logic -- Chapter 10. Leveraging Networked Artificial Intelligence for Healthcare Transformation -- Chapter 11. Optimizing Workplace Happiness: Integrating Artificial Intelligence for Employee Well-Being -- Chapter 12. Performance Metrics in Blockchain-Enabled AIML for Cognitive IoT in Large-Scale Networks: Optimizing Data Analytics for Enhanced Network Performance -- Chapter 13. Personalized Treatment and Patient Care Using AI--Chapter 14. Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI -- Chapter 15. Recommendation Systems and Content Personalization: Algorithms, Applications, and Adaptive Learning -- Chapter 16. Research Perspectives of AI in 5G and 6G -- Chapter 17. Research Review on AI-Powered 6G as Sixth-Sense Technologies -- Chapter 18. Scalability Issues in AI Computing in Large-Scale Networks -- Chapter 19. The Evolution of Personalization From Traditional Marketing to AI Computing -- Compilation of References -- About the Contributors -- Index.
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"Artificial Intelligence (AI) is rapidly becoming essential to large-scale communication networks. Driven by the need for greater efficiency, security, and optimization, AI has evolved into a powerful tool that processes vast data and delivers insights through real-time processing, predictive analysis, and adaptive learning. Because these advancements transform how we interact with data and services, applying AI to complex networks has never been more essential. AI for Large Scale Communication Networks explores how AI can enhance network performance, scalability, and security. With contributions from experts, this book covers topics such as algorithm optimization, machine learning improvements, and neural network applications. It also addresses critical challenges like fault tolerance and distributed computing, emphasizing the need for interdisciplinary collaboration. Designed for academics, practitioners, and students, this resource provides actionable insights and strategies to optimize communication networks using AI."--
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