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IoT edge intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	IoT edge intelligenceedited by Souvik Pal ... [et al.].
其他作者:	Pal, Souvik.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xiii, 388 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Edge computing.
電子資源:	https://doi.org/10.1007/978-3-031-58388-9
ISBN:	9783031583889$q(electronic bk.)

IoT edge intelligence
IoT edge intelligence[electronic resource] /edited by Souvik Pal ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xiii, 388 p. :ill. (chiefly col.), digital ;24 cm. - Internet of things, technology, communications and computing,2199-1081. - Internet of things, technology, communications and computing..

Part 1 Architecture, Systems, and Services -- Chapter 1 Modeling, Simulating, and Evaluating Complex End-to-End Edge Intelligence Systems -- Chapter 2 Exploring Edge AI Inference in Heterogeneous Environments: Requirements, Challenges, and Solutions -- Chapter 3 Artificial Intelligence Enabled Edge Computing: Necessity of Next Generation Future Computing System -- Chapter 4 Artificial Intelligence-based IoT-Edge Environment for Industry 5.0 -- Chapter 5 Service Provisioning at the Edge: An AI Approach based on Policies -- Chapter 6 Unsupervised Time Series Anomaly Detection for Edge Computing Applications - A Review -- Part 2 Security and Privacy paradigm -- Chapter 7 Secure, Trusted, Privacy-Protected Data Exchange in an Edge-Cloud Continuum Environment -- Chapter 8 Security, Privacy, Trust and Provenance issues in Internet of Things based Edge Environment -- Chapter 9 Secure Neural Network Inference for Edge Intelligence: Implications of Bandwidth and Energy Constraints -- Part 3 Applications -- Chapter 10 Internet of Things in Intelligent Transportation Systems -- Chapter 11 IoT- Driven Analytics and Edge Intelligence in Autonomous Navigation Systems -- Chapter 12 Edge-AI for Monitoring Air Pollution from Urban Waste Incineration : A Survey -- Chapter 13 Enabling Artificial Intelligence on IoT Edge: Smart Approaches and Solutions for Providing Remote Dental and Medical Services.

This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT) Expanding the application of Edge computing is increasingly necessary. This can involve exploring automated, intelligent computational learning theorems, and ANN-oriented, trustworthy machine learning perspectives to enhance computational intelligence. The book functions as a valuable resource for professionals in the sector and also acts as a comprehensive learning tool for newcomers in the field of AI-enabled Edge Technologies and their applications, covering both fundamental and advanced concepts. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT edge-cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions. The book will help readers understand the design architecture and AI algorithms and learn analytics through IoT edge, device-edge and the state-of-the-art in cloud-IoT countermeasures. The book is a valuable reference for anyone doing undergraduate or postgraduate studies, conducting research, or working in the computer science, information technology, electronics engineering, and complicated mathematical modeling domains. Serves as a manual for both basic and advanced aspects in edge-enabled technologies; Explores intelligent object identification and object discovery through the edge computing ecosystem; Addresses the complete functional framework and knowledge hierarchy for edge computing and IoT edge.

ISBN: 9783031583889$q(electronic bk.)

Standard No.: 10.1007/978-3-031-58388-9doiSubjects--Topical Terms:

875964
Edge computing.

LC Class. No.: QA76.583

Dewey Class. No.: 005.758

IoT edge intelligence
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505 0 $a Part 1 Architecture, Systems, and Services -- Chapter 1 Modeling, Simulating, and Evaluating Complex End-to-End Edge Intelligence Systems -- Chapter 2 Exploring Edge AI Inference in Heterogeneous Environments: Requirements, Challenges, and Solutions -- Chapter 3 Artificial Intelligence Enabled Edge Computing: Necessity of Next Generation Future Computing System -- Chapter 4 Artificial Intelligence-based IoT-Edge Environment for Industry 5.0 -- Chapter 5 Service Provisioning at the Edge: An AI Approach based on Policies -- Chapter 6 Unsupervised Time Series Anomaly Detection for Edge Computing Applications - A Review -- Part 2 Security and Privacy paradigm -- Chapter 7 Secure, Trusted, Privacy-Protected Data Exchange in an Edge-Cloud Continuum Environment -- Chapter 8 Security, Privacy, Trust and Provenance issues in Internet of Things based Edge Environment -- Chapter 9 Secure Neural Network Inference for Edge Intelligence: Implications of Bandwidth and Energy Constraints -- Part 3 Applications -- Chapter 10 Internet of Things in Intelligent Transportation Systems -- Chapter 11 IoT- Driven Analytics and Edge Intelligence in Autonomous Navigation Systems -- Chapter 12 Edge-AI for Monitoring Air Pollution from Urban Waste Incineration : A Survey -- Chapter 13 Enabling Artificial Intelligence on IoT Edge: Smart Approaches and Solutions for Providing Remote Dental and Medical Services.
520 $a This book explores fundamental and advanced concepts related to the AI-enabled Edge Technology paradigm, also known as Edge Intelligence, within the framework of the Internet of Things (IoT) Expanding the application of Edge computing is increasingly necessary. This can involve exploring automated, intelligent computational learning theorems, and ANN-oriented, trustworthy machine learning perspectives to enhance computational intelligence. The book functions as a valuable resource for professionals in the sector and also acts as a comprehensive learning tool for newcomers in the field of AI-enabled Edge Technologies and their applications, covering both fundamental and advanced concepts. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT edge-cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions. The book will help readers understand the design architecture and AI algorithms and learn analytics through IoT edge, device-edge and the state-of-the-art in cloud-IoT countermeasures. The book is a valuable reference for anyone doing undergraduate or postgraduate studies, conducting research, or working in the computer science, information technology, electronics engineering, and complicated mathematical modeling domains. Serves as a manual for both basic and advanced aspects in edge-enabled technologies; Explores intelligent object identification and object discovery through the edge computing ecosystem; Addresses the complete functional framework and knowledge hierarchy for edge computing and IoT edge.
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