國立虎尾科技大學 |

Technological advancements in data processing for next generation intelligent systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Technological advancements in data processing for next generation intelligent systems/ Shanu Sharma, Ayushi Prakash, Vijayan Sugumaran, editors.
其他作者:	Sharma, Shanu,
出版者:	Hershey, Pennsylvania :IGI Global, : 2024.,
面頁冊數:	1 online resource (357 p.)
標題:	Information society. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0968-1
ISBN:	9798369309698

Technological advancements in data processing for next generation intelligent systems
Technological advancements in data processing for next generation intelligent systems[electronic resource] /Shanu Sharma, Ayushi Prakash, Vijayan Sugumaran, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (357 p.)

Includes bibliographical references and index.

Chapter 1. Cloud computing for IoT sensing data -- Chapter 2. Comprehensive analysis of attacks and defenses in IoT sensory big data analysis -- Chapter 3. Elevating IoT sensor data management and security through blockchain solutions -- Chapter 4. Unveiling the depths of explainable AI: a comprehensive review -- Chapter 5. Convergence of artificial intelligence and self-sustainability: ethical considerations and social implications -- Chapter 6. Integration of precision agriculture technology, IoT sensors, and system efficiency for sustainable farming practices -- Chapter 7. Quantum computing-powered agricultural transformation: optimizing performance in farming -- Chapter 8. Fog computing-integrated ML-based framework and solutions for intelligent systems: digital healthcare applications -- Chapter 9. Artificial intelligence (AI) and machine learning (ML) technology-driven structural systems -- Chapter 10. Additive manufacturing and 3D printing innovations: revolutionizing industry 5.0 -- Chapter 11. Smart grid fault detection and classification framework utilizing aiot in India.

"Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedentedpotential for handling vast data volumes and real-time analysis.The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves asa valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range oftopics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI forInternet of Things (IoT) sensory data, and more."--

ISBN: 9798369309698Subjects--Topical Terms:

560779
Information society.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: HF5548.2 / .T43 2024e

Dewey Class. No.: 658.05

Technological advancements in data processing for next generation intelligent systems
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505 0 $a Chapter 1. Cloud computing for IoT sensing data -- Chapter 2. Comprehensive analysis of attacks and defenses in IoT sensory big data analysis -- Chapter 3. Elevating IoT sensor data management and security through blockchain solutions -- Chapter 4. Unveiling the depths of explainable AI: a comprehensive review -- Chapter 5. Convergence of artificial intelligence and self-sustainability: ethical considerations and social implications -- Chapter 6. Integration of precision agriculture technology, IoT sensors, and system efficiency for sustainable farming practices -- Chapter 7. Quantum computing-powered agricultural transformation: optimizing performance in farming -- Chapter 8. Fog computing-integrated ML-based framework and solutions for intelligent systems: digital healthcare applications -- Chapter 9. Artificial intelligence (AI) and machine learning (ML) technology-driven structural systems -- Chapter 10. Additive manufacturing and 3D printing innovations: revolutionizing industry 5.0 -- Chapter 11. Smart grid fault detection and classification framework utilizing aiot in India.
520 3 $a "Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedentedpotential for handling vast data volumes and real-time analysis.The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves asa valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range oftopics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI forInternet of Things (IoT) sensory data, and more."-- $c Provided by publisher.
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