Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices.

• Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries

• Compares the performance of IoT-based devices with and without energy harvesting for different applications

• Studies the challenges and issues in the implementation of EH-IoT

• Includes case studies on energy-harvesting approach for solar, thermal and RF sources

• Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT.

This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices.

• Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries

• Compares the performance of IoT-based devices with and without energy harvesting for different applications

• Studies the challenges and issues in the implementation of EH-IoT

• Includes case studies on energy-harvesting approach for solar, thermal and RF sources

• Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT.

This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-based analytics tools, and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics, and e-commerce. It also addresses security challenges, privacy concerns, and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics.

This book is an essential resource for students, researchers, and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-based analytics tools, and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics, and e-commerce. It also addresses security challenges, privacy concerns, and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics.

This book is an essential resource for students, researchers, and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications.

The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one ofthe most challenging research domains in image processing.

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2023), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India during October 6–7, 2023. The book is divided into two volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2023), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India, during 6–7 October 2023. The book is divided into two volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and shares the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices.

• Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries

• Compares the performance of IoT-based devices with and without energy harvesting for different applications

• Studies the challenges and issues in the implementation of EH-IoT

• Includes case studies on energy-harvesting approach for solar, thermal and RF sources

• Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT.

This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices.

• Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries

• Compares the performance of IoT-based devices with and without energy harvesting for different applications

• Studies the challenges and issues in the implementation of EH-IoT

• Includes case studies on energy-harvesting approach for solar, thermal and RF sources

• Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT.

This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-based analytics tools, and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics, and e-commerce. It also addresses security challenges, privacy concerns, and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics.

This book is an essential resource for students, researchers, and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-based analytics tools, and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics, and e-commerce. It also addresses security challenges, privacy concerns, and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics.

This book is an essential resource for students, researchers, and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications.

The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one ofthe most challenging research domains in image processing.

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2023), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India during October 6–7, 2023. The book is divided into two volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2023), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India, during 6–7 October 2023. The book is divided into two volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and shares the latest breakthroughs in and promising solutions to the most important issues facing today’s society.