Enhancing Data-Driven Electronics Through IoT /

"In today's ever-evolving world of electronics engineering and design, professionals face the pressing challenge of effectively integrating the Internet of Things (IoT) technology into electronic devices to enhance their performance and functionality. As the demand for smarter, more connec...

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Bibliographic Details
Other Authors:	Das, Bhagwan (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, 2025.
Subjects:	Electronics > Design and construction. Internet of things > Industrial applications. Electronic books.

Table of Contents:

Title Page
Copyright Page
Dedication
Table of Contents
Detailed Table of Contents
Preface
Introduction
Chapter 1: Unveiling the Role of Diversity Measure in Concept Drift Detection
Chapter 2: RPL and IoT Security
Chapter 3: IoT Security and Privacy
Chapter 4: IoT Protocols for Healthcare for Enhancing Connectivity and Efficiency in Medical Systems
Chapter 5: AI and IoT in Edge Computing for Climate Analysis and Sustainability
Chapter 6: 5G and Cloud Computing Synergy in Smart City Networks
Chapter 7: A Hybrid Approach for Smart Home Activity Recognition Using Sensor Data and Deep Learning Techniques
Chapter 8: Achieving Smart Connectivity cum Automation Through Data-Driven Applications of IoT in Electronic
Chapter 9: Advancements in the Internet of Medical Things
Chapter 10: Communication Technologies and Protocols in IoT Systems
Chapter 11: Field to Cloud
Chapter 12: Hybrid Models for Environmental Monitoring by Integrating Deep Belief Networks With Sensor Networks
Chapter 13: Innovative Energy Harvesting Techniques for Robotics
Chapter 14: Machine Learning-Integrated Air Quality and Environmental Monitoring Processes
Chapter 15: Security in Internet of Things Applications Using Network-Attached Storage for Resource Usage Optimization
Chapter 16: Sustainable Solutions for Autonomous Vehicles Using Deep Learning and IoT
Chapter 17: Wireless Sensor Networks (WSNs)-Integrated Machine Learning Algorithms for Water Resource Management
Conclusion
About the Contributors
Index