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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.
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