This text discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the health care system and compare the results to better understand the nature and progress of the disease in the human body that leads to early diagnosis and better cure of disease and treatment with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of the technological advancements like advanced sensing technologies like Plasmonic sensors, usage of RFIDs and electronic diagnostic tools in the field of healthcare engineering Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders Highlights the future challenges and risks involved in the application of smart technologies like Cloud computing, fog computing, IOT and distributed computing in heathcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post Covid 19 to revitalize the medical set up Contributions included in the book will motivate the technological developers and researchers to develop new algorithms and protocols in healthcare field. It will serve as the vast place for knowledge regarding healthcare health care delivery, health care management, health care in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.

Maintenance has an essential role in ensuring that engineering systems perform at expected levels of reliability, availability and safety in a cost effective manner and in keeping with the corporate demands. A review of extensive research in the field of maintenance indicates that most models either have over-simplified assumptions or are analytically and computationally too intensive for practical application. Optimal Maintenance of Large Engineering System endeavors to address this anomaly for the maintenance decision maker and researcher. The book brings under one roof, a critical discussion on the classical and contemporary analysis of maintenance models, presentation of maintenance decision as a multi-objective optimization problem using genetic algorithms and use for fuzzy logic for handling uncertainty and expert opinion or domain knowledge with particular reference to maintenance of large engineering systems. There are also necessary inputs to equip the readers with the necessary skills, such as genetic algorithms, fuzzy sets, bayesian statistics, etc., as well as a detailed exposure to tools and techniques for maintenance planning and management, CMMS and expert systems.

Producing and maintaining the high quality of products and processes are at the core of engineering and only a comprehensive quality improvement and assessment program that have successful outcome can assure it. Reliability of computer systems has become a major concern for our society. Software reliability is the key factor in software quality since it qualities software failures - the most unwanted event which makes software useless or even harmful to the whole system. Achieving highly reliable software in the customer's perspective is a demanding job to all software engineers and reliability engineers. Papers in this book are classified into four main areas: RELIABILITY, QUALITY, OPTIMIZATION AND INFOCOM TECHNOLOGY. This book will benefit wider audiences amongst the scientific and research community in academia and industry.