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This book presents a compilation of the most recent implementation
of artificial intelligence methods for solving different problems
generated by the COVID-19. The problems addressed came from
different fields and not only from medicine. The information
contained in the book explores different areas of machine and deep
learning, advanced image processing, computational intelligence,
IoT, robotics and automation, optimization, mathematical modeling,
neural networks, information technology, big data, data processing,
data mining, and likewise. Moreover, the chapters include the
theory and methodologies used to provide an overview of applying
these tools to the useful contribution to help to face the emerging
disaster. The book is primarily intended for researchers, decision
makers, practitioners, and readers interested in these subject
matters. The book is useful also as rich case studies and project
proposals for postgraduate courses in those specializations.
This book presents a compilation of the most recent implementation
of artificial intelligence methods for solving different problems
generated by the COVID-19. The problems addressed came from
different fields and not only from medicine. The information
contained in the book explores different areas of machine and deep
learning, advanced image processing, computational intelligence,
IoT, robotics and automation, optimization, mathematical modeling,
neural networks, information technology, big data, data processing,
data mining, and likewise. Moreover, the chapters include the
theory and methodologies used to provide an overview of applying
these tools to the useful contribution to help to face the emerging
disaster. The book is primarily intended for researchers, decision
makers, practitioners, and readers interested in these subject
matters. The book is useful also as rich case studies and project
proposals for postgraduate courses in those specializations.
This book presents best practices involving applications of
decision sciences, business tactics and behavioral
sciences for COVID-19. Addressing concrete problems in these
vital fields, it focuses on theoretical and methodological
investigations of managerial decisions that drive production and
service enterprises’ productivity and success. Moreover, it
presents optimization techniques and tools that can also be adopted
for other applications in various research areas after a thorough
analysis of the specific problem. Â The book is intended for
researchers and practitioners seeking optimum solutions to
real-life problems in various application areas concerning
COVID-19, helping them make scientifically founded decisions.
This book presents best practices involving applications of
decision sciences, business tactics and behavioral sciences for
COVID-19. Addressing concrete problems in these vital fields, it
focuses on theoretical and methodological investigations of
managerial decisions that drive production and service enterprises'
productivity and success. Moreover, it presents optimization
techniques and tools that can also be adopted for other
applications in various research areas after a thorough analysis of
the specific problem. The book is intended for researchers and
practitioners seeking optimum solutions to real-life problems in
various application areas concerning COVID-19, helping them make
scientifically founded decisions.
The advancements in decision sciences theory and applications can
be regarded as a continuously emerging field in all areas of
interest including technology, industry, energy, healthcare,
education, agriculture, social sciences, and more. Managers in all
disciplines face an endless list of complex issues every day. One
of the essential managerial skills is the ability to allocate and
utilize limited resources appropriately in the efforts of achieving
optimal performance efficiently. This is no less important for
those who work in the transportation sector. Decision Sciences and
Applications in the Transportation Sector explores the importance
of decision sciences and the ways in which they apply to the
transportation sector. This book covers technologies and tools
including machine learning, mathematical modeling, and simulation
and their applications in such tasks as reducing fuel costs,
improving passenger flow, and ensuring vehicle safety. It is an
essential reference source for managers, professionals in the
transport industry, supply chain specialists, safety officers, IT
consultants, executives, practitioners, scientists, students,
researchers, and academicians.
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