Lakshmi D - Böcker

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.Key FeaturesExploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applicationsAddresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applicationsDescribes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problemsExplores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systemsFocuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systemsThis book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.Key FeaturesExploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applicationsAddresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applicationsDescribes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problemsExplores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systemsFocuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systemsThis book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare presents an overview of the innovative concepts, technologies, and various biomedical applications of the Internet of Medical Things (IoMT).Features:• Provides insights into smart contracts, healthcare monitoring equipment, and the next generation of Internet of Things sensors to improve adherence to chronic disease management programs and patient health.• Discusses the IoMT for personalized healthcare, security, and privacy issues of the IoMT in the healthcare sector.• Elaborates on the opportunities and challenges of blockchain technology in the healthcare system.• Focuses on the convergence of the IoMT and blockchain for emerging personalized healthcare systems.• Presents techniques and methods to secure IoMT devices to protect them from cyberattacks.This book is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, biomedical engineering, and electrical engineering.

Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare presents an overview of the innovative concepts, technologies, and various biomedical applications of the Internet of Medical Things (IoMT).Features:• Provides insights into smart contracts, healthcare monitoring equipment, and the next generation of Internet of Things sensors to improve adherence to chronic disease management programs and patient health.• Discusses the IoMT for personalized healthcare, security, and privacy issues of the IoMT in the healthcare sector.• Elaborates on the opportunities and challenges of blockchain technology in the healthcare system.• Focuses on the convergence of the IoMT and blockchain for emerging personalized healthcare systems.• Presents techniques and methods to secure IoMT devices to protect them from cyberattacks.This book is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, biomedical engineering, and electrical engineering.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.• Focuses on virtual machine placement and migration techniques for cloud data centres• Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services• Includes application of placement techniques for quality of service, performance, and reliability improvement• Explores data centre resource management, load balancing and orchestration using machine learning techniques• Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.• Focuses on virtual machine placement and migration techniques for cloud data centres• Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services• Includes application of placement techniques for quality of service, performance, and reliability improvement• Explores data centre resource management, load balancing and orchestration using machine learning techniques• Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.