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Novel AI and Data Science Advancements for Sustainability in the
Era of COVID-19 discusses how the role of recent technologies
applied to health settings can help fight virus outbreaks.
Moreover, it provides guidelines on how governments and
institutions should prepare and quickly respond to drastic
situations using technology to support their communities in order
to maintain life and functional as efficiently as possible. The
book discusses topics such as AI-driven histopathology analysis for
COVID-19 diagnosis, bioinformatics for subtype rational drug
design, deep learning-based treatment evaluation and outcome
prediction, sensor informatics for monitoring infected patients,
and machine learning for tracking and prediction models. In
addition, the book presents AI solutions for hospital management
during an epidemic or pandemic, along with real-world solutions and
case studies of successful measures to support different types of
communities. This is a valuable source for medical informaticians,
bioinformaticians, clinicians and other healthcare workers and
researchers who are interested in learning more on how recently
developed technologies can help us fight and minimize the effects
of global pandemics.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Multi-Criteria Decision-Making for Renewable Energy: Methods,
Applications, and Challenges brings together the latest fuzzy and
soft computing methods, models, and algorithms as applied to the
field of renewable energy and supported by specific application
examples and case studies. The book begins by approaching renewable
energy sources, challenges and factors that affect their
development, as well as green renewable energy sites and the
utilization of fuzzy multi-criteria decision-making (MCDM)
techniques in these broad contexts, as well as utilization in
addressing the various environmental, economic, and social barriers
to ensuring the sustainability of energy resources. Detailed
chapters focus on the application of multi-criteria decision-making
methods for planning, modeling and prioritization in specific areas
of renewable energy, including solar energy, wind farms,
solar-powered hydrogen production plants, biofuel production,
energy storage, hydropower, and marine energy. Finally, future
opportunities and research directions are explored.
This book addresses new concepts, methods, algorithms, modeling,
and applications of green supply chain, inventory control problems,
assignment problems, transportation problem, linear problems and
new information related to optimization for the topic from the
theoretical and applied viewpoints of neutrosophic sets and logic.
The book is an innovatory of new tools and procedures, such as:
Neutrosophic Statistical Tests and Dependent State Samplings,
Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft
Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and
Spherical and Cubic Neutrosophic Numbers used in machine learning.
It highlights the process of neutrosofication {which means to split
the universe into three parts, two opposite ones (Truth and
Falsehood), and an Indeterminate or neutral one (I) in between
them}. It explains Three-Ways Decision, how the universe set is
split into three different distinct areas, in regard to the
decision process, representing: Acceptance, Noncommitment, and
Rejection, respectively. The Three-Way Decision is used in the
Neutrosophic Linguistic Rough Set, which has never been done
before.
In information technology, the concepts of cost, time, delivery,
space, quality, durability, and price have gained greater
importance in solving managerial decision-making problems in supply
chain models, transportation problems, and inventory control
problems. Moreover, competition is becoming tougher in imprecise
environments. Neutrosophic sets and logic are gaining significant
attention in solving real-life problems that involve uncertainty,
impreciseness, vagueness, incompleteness, inconsistency, and
indeterminacy. Neutrosophic Sets in Decision Analysis and
Operations Research is a critical, scholarly publication that
examines various aspects of organizational research through
mathematical equations and algorithms and presents neutrosophic
theories and their applications in various optimization fields.
Featuring a wide range of topics such as information retrieval,
decision making, and matrices, this book is ideal for engineers,
technicians, designers, mathematicians, practitioners of
mathematics in economy and technology, scientists, academicians,
professionals, managers, researchers, and students.
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