Divya Mishra – författare

The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations.Features:• Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry• Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry• Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry• Includes several case studiesIt is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations.Features:• Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry• Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry• Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry• Includes several case studiesIt is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing.This book:• Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications.• Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation.• Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing.• Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things.• Highlights operation management using human-robot, smart maintenance, and autonomous production.It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.

This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing.This book:• Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications.• Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation.• Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing.• Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things.• Highlights operation management using human-robot, smart maintenance, and autonomous production.It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.

Crowdsourcing and Value Co-creation in Human Resource Management explores the transformative role of crowdsourcing in human resources, highlighting how it enables value co-creation within organisations. Through practical insights, case studies, and best practices, the book offers actionable strategies for leveraging crowdsourcing to optimise talent management, foster innovation, and improve organisational performance.This comprehensive guide provides HR professionals, researchers, and organisational leaders with the tools to integrate crowdsourcing across various HR functions—from talent acquisition to diversity and inclusion. By offering real-world examples and strategies, this contributed work empowers readers to address HR challenges, drive innovation, and enhance organisational success using the power of crowdsourcing.