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This book comprises high-quality refereed research papers presented
at The Second International Symposium on Computer Science, Digital
Economy and Intelligent Systems (CSDEIS2020), held in Moscow,
Russia, on December 18-20, 2020, organized jointly by Moscow State
Technical University and the International Research Association of
Modern Education and Computer Science. The topics discussed in the
book include state-of-the-art papers in computer science and their
technological applications; intelligent systems and intellectual
approaches; digital economics and methodological approaches. It is
an excellent source of references for researchers, graduate
students, engineers, management practitioners, and undergraduate
students interested in computer science and their applications in
engineering and management.
This book comprises high-quality refereed research papers presented
at the Fourth International Conference on Computer Science,
Engineering and Education Applications (ICCSEEA2021), held in Kyiv,
Ukraine, on January 23-24, 2021, organized jointly by the National
Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic
Institute", National Aviation University, and the International
Research Association of Modern Education and Computer Science. The
topics discussed in the book include state-of-the-art papers in
computer science, artificial intelligence, engineering techniques,
genetic coding systems, deep learning with its medical
applications, and knowledge representation with its applications in
education. It is an excellent source of references for researchers,
graduate students, engineers, management practitioners, and
undergraduate students interested in computer science and their
applications in engineering and education.
This book comprises refereed papers presented at The International
Conference on Artificial Intelligence and Power Engineering
(AIPE2020), held in Moscow, Russia, on December 25-27, 2020. The
book's/conference's general scope covers the latest advances for
the development of artificial intelligence systems and their
applications in various fields from power engineering to biology
and education. Given the rapid development of artificial
intelligence systems, the book emphasizes the need for the
intensification of training of a growing number of relevant
specialists, in particular, in energy and power engineering to
increase the effectiveness of creation and diagnosing of
appropriate technical solutions. In digital artificial intelligence
systems, scientists endeavor to reproduce the innate intellectual
abilities of humans and other organisms. The in-depth study of
biological and self-organizing systems provides new approaches to
create more and more effective artificial intelligence methods.
Topics of the included papers concern thematic materials in the
following spheres: mathematics and computer algorithms; analysis of
some technical solutions; technological and educational approaches.
The book is a compilation of state-of-the-art papers in the field,
covering a comprehensive range of subjects that are relevant to
business managers and engineering professionals alike. The breadth
and depth of these proceedings make them an excellent resource for
asset management practitioners, researchers, and academics, as well
as undergraduate and postgraduate students interested in artificial
intelligence systems and their growing applications. The intended
readership includes specialists, students, and other circles of
readers who would like to know where artificial intelligence
systems can be applied in the future with great benefit.
This book covers the latest advances for the development of
artificial intelligence systems and their applications in various
fields from medicine and technology to education. The proceedings
comprise refereed papers presented at the Fourth International
Conference of Artificial Intelligence, Medical Engineering,
Education (AIMEE2020), held at the Mechanical Engineering Institute
of the Russian Academy of Sciences, Moscow, Russia, in 3-4 October
2020. Given the rapid development of artificial intelligence
systems, the book emphasizes the need for the intensification of
training of a growing number of relevant specialists, in
particular, in medical engineering to increase the effectiveness of
medical diagnosing and treatment. In digital artificial
intelligence systems, scientists endeavor to reproduce the innate
intellectual abilities of human and other organisms, and the
in-depth study of genetic systems and inherited biological
processes can provide new approaches to create more and more
effective artificial intelligence methods. Topics of the included
papers concern thematic materials in the following spheres:
mathematics and biomathematics; medical approaches; technological
and educational approaches. The book is a compilation of
state-of-the-art papers in the field, covering a comprehensive
range of subjects that is relevant to business managers and
engineering professionals alike. The breadth and depth of these
proceedings make them an excellent resource for asset management
practitioners, researchers, and academics, as well as undergraduate
and postgraduate students interested in artificial intelligence and
bioinformatics systems as well as their growing applications.
Intended readership includes specialists, students, and other
circles of readers who would like to know where artificial
intelligence systems can be applied in the future with great
benefit.
This book comprises high-quality refereed research papers presented
at the Third International Conference on Computer Science,
Engineering and Education Applications (ICCSEEA2020), held in Kyiv,
Ukraine, on 21-22 January 2020, organized jointly by National
Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic
Institute", National Aviation University, and the International
Research Association of Modern Education and Computer Science. The
topics discussed in the book include state-of-the-art papers in
computer science, artificial intelligence, engineering techniques,
genetic coding systems, deep learning with its medical
applications, and knowledge representation with its applications in
education. It is an excellent source of references for researchers,
graduate students, engineers, management practitioners, and
undergraduate students interested in computer science and their
applications in engineering and education.
This book comprises high-quality, refereed research papers
presented at the 2019 International Symposium on Computer Science,
Digital Economy and Intelligent Systems (CSDEIS2019): The
symposium, held in Moscow, Russia, on 4-6 October 2019, was
organized jointly by Moscow State Technical University and the
International Research Association of Modern Education and Computer
Science. The book discusses the state of the art in areas such as
computer science and its technological applications; intelligent
systems and intellectual approaches; and digital economics and
methodological approaches. It is an excellent reference resource
for researchers, undergraduate and graduate students, engineers,
and management practitioners interested in computer science and its
applications in engineering and management.
This book discusses the latest advances in the development of
artificial intelligence systems and their applications in various
fields, from medicine and technology to education. It comprises
papers presented at the Third International Conference of
Artificial Intelligence, Medical Engineering, Education
(AIMEE2019), held at the Mechanical Engineering Institute of the
Russian Academy of Sciences, Moscow, Russia, on 1-3 October 2019.
Covering topics such as mathematics and biomathematics; medical
approaches; and technological and educational approaches, it is
intended for the growing number of specialists and students in this
field, as well as other readers interested in discovering where
artificial intelligence systems can be applied in the future.
The book comprises high-quality refereed research papers presented
at the Second International Conference on Artificial Intelligence
and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on
February 20-22, 2022, organized jointly by the National Technical
University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute,"
Wuhan University of Technology, Nanning University, National
Aviation University, and the International Research Association of
Modern Education and Computer Science. The topics discussed in the
book include state-of-the-art papers in artificial intelligence and
logistics engineering. It is an excellent source of references for
researchers, graduate students, engineers, management
practitioners, and undergraduate students interested in artificial
intelligence and its applications in logistics engineering.
This book contains high-quality refereed research papers presented
at the Fifth International Conference on Computer Science,
Engineering, and Education Applications (ICCSEEA2022), which took
place in Kyiv, Ukraine, on February 21-22, 2022, and was organized
by the National Technical University of Ukraine "Igor Sikorsky Kyiv
Polytechnic Institute," National Aviation University, and the
International Research Association of Modern Education and Computer
Science. State-of-the-art studies in computer science, artificial
intelligence, engineering methodologies, genetic coding systems,
deep learning with medical applications, and knowledge
representation with educational applications are among the topics
covered in the book. For academics, graduate students, engineers,
management practitioners, and undergraduate students interested in
computer science and its applications in engineering and education,
this book is a valuable resource.
This book includes the proceedings of the Second International
Conference of Artificial Intelligence, Medical Engineering,
Education (AIMEE2018), held in Moscow, Russia, on 6-8 October 2018.
The conference covered advances in the development of artificial
intelligence systems and their applications in various fields, from
medicine and technology to education. The papers presented in the
book discuss topics in mathematics and biomathematics; medical
approaches; and technological and educational approaches. Given the
rapid development of artificial intelligence systems, the book
highlights the need for more intensive training for a growing
number of specialists, particularly in medical engineering, to
increase the effectiveness of medical diagnosis and treatment. The
book is intended for specialists, students and other readers who
would like to know where artificial intelligence systems can
beneficially be applied in the future.
This book gathers high-quality, peer-reviewed research papers
presented at the Second International Conference on Computer
Science, Engineering and Education Applications (ICCSEEA2019), held
in Kiev, Ukraine on 26-27 January 2019, and jointly organized by
the National Technical University of Ukraine "Igor Sikorsky Kyiv
Polytechnic Institute" and the International Research Association
of Modern Education and Computer Science. The papers discuss
state-of-the-art topics and advances in computer science; neural
networks; pattern recognition; engineering techniques; genetic
coding systems; deep learning and its medical applications; and
knowledge representation and its applications in education. Given
its scope, the book offers an excellent resource for researchers,
engineers, management practitioners, and graduate and undergraduate
students interested in computer science and its applications in
engineering and education.
This book features high-quality, peer-reviewed research papers
presented at the First International Conference on Computer
Science, Engineering and Education Applications (ICCSEEA2018), held
in Kiev, Ukraine on 18-20 January 2018, and organized jointly by
the National Technical University of Ukraine "Igor Sikorsky Kyiv
Polytechnic Institute" and the International Research Association
of Modern Education and Computer Science. The state-of-the-art
papers discuss topics in computer science, such as neural networks,
pattern recognition, engineering techniques, genetic coding
systems, deep learning with its medical applications, as well as
knowledge representation and its applications in education. It is
an excellent reference resource for researchers, graduate students,
engineers, management practitioners, and undergraduate students
interested in computer science and their applications in
engineering and education.
This book presents an overview of the latest artificial
intelligence systems and methods, which have a broad spectrum of
effective and sometimes unexpected applications in medical,
educational and other fields of sciences and technology. In digital
artificial intelligence systems, scientists endeavor to reproduce
the innate intellectual abilities of human and other organisms, and
the in-depth study of genetic systems and inherited biological
processes can provide new approaches to create more and more
effective artificial intelligence methods. The book focuses on the
intensive development of bio-mathematical studies on living
organism patents, which ensure the noise immunity of genetic
information, its quasi-holographic features, and its connection
with the Boolean algebra of logic used in technical artificial
intelligence systems. In other words, the study of genetic systems
and creation of methods of artificial intelligence go hand in hand,
mutually enriching enrich each other. These proceedings comprise
refereed papers presented at the 1st International Conference of
Artificial Intelligence, Medical Engineering, and Education
(AIMEE2017), held at the Mechanical Engineering Institute of the
Russian Academy of Sciences, Moscow, Russia on 21-23 August 2017.
The topics discussed include advances in thematic mathematics and
bio-mathematics; advances in thematica medical approaches; and
advances in thematic technological and educational approaches. The
book is a compilation of state-of-the-art papers in the field,
covering a comprehensive range of subjects that are relevant to
business managers and engineering professionals alike. The breadth
and depth of these proceedings make them an excellent resource for
asset management practitioners, researchers and academics, as well
as undergraduate and postgraduate students interested in artificial
intelligence and bioinformatics systems as well as their growing
applications
The book comprises high-quality refereed research papers presented
at the Third International Symposium on Computer Science, Digital
Economy, and Intelligent Systems (CSDEIS2021), held in Moscow,
Russia, on December 25-26, 2021, organized jointly by the
Mechanical Engineering Research Institute of the Russian Academy of
Sciences,Moscow State Technical University, and the International
Research Association of Modern Education and Computer Science. The
topics discussed in the book includes state-of-the-art papers in
computer science and their technological applications; intelligent
systems and intellectual approaches; digital economics and
methodological approaches. It is an excellent source of references
for researchers, graduate students, engineers, management
practitioners, and undergraduate students interested in computer
science and its applications in engineering and management.
In today's data-driven world, more sophisticated algorithms for
data processing are in high demand, mainly when the data cannot be
handled with the help of traditional techniques. Self-learning and
adaptive algorithms are now widely used by such leading giants that
as Google, Tesla, Microsoft, and Facebook in their projects and
applications. In this guide designed for researchers and students
of computer science, readers will find a resource for how to apply
methods that work on real-life problems to their challenging
applications, and a go-to work that makes fuzzy clustering issues
and aspects clear. Including research relevant to those studying
cybernetics, applied mathematics, statistics, engineering, and
bioinformatics who are working in the areas of machine learning,
artificial intelligence, complex system modeling and analysis,
neural networks, and optimization, this is an ideal read for anyone
interested in learning more about the fascinating new developments
in machine learning.
This book comprises high-quality refereed research papers presented
at the 2021 International Conference on Artificial Intelligence and
Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22-24
January 2021, organized jointly by Wuhan University of Technology,
National Technical University of Ukraine "Igor Sikorsky Kyiv
Polytechnic Institute" and the International Research Association
of Modern Education and Computer Science. The topics discussed in
the book include state-of-the-art papers in artificial intelligence
and logistics engineering. It is an excellent source of references
for researchers, graduate students, engineers, management
practitioners and undergraduate students interested in artificial
intelligence and their applications in logistics engineering.
This book comprises high-quality peer-reviewed research papers
presented at the 4th International Symposium on Computer Science,
Digital Economy and Intelligent Systems (CSDEIS2022), held in
Wuhan, China, from November 11-13, 2022, organized jointly by the
Wuhan University of Technology, Hubei University of Technology,
Wuhan University of Science and Technology, the Polish Operational
and Systems Society, and the International Center of Informatics
and Computer Science (ICICS). The topics discussed in the book
include state-of-the-art papers in computer science and their
technological applications; intelligent systems and intellectual
approaches; digital economics and educational approaches. It is an
excellent source of references for researchers, graduate students,
engineers, management practitioners, and undergraduate students
interested in computer science and its applications in engineering
and management.
The book provides a thorough overview of recent developments in the
design of AI systems and their uses in a range of industries,
including education, technology, and bioinformatics. The papers in
the proceedings were presented at the Sixth International
Conference on Artificial Intelligence, Medical Engineering, and
Education (AIMEE2022), which took place in Wuhan, China, from
August 19 to 21, 2022. The book underlines the need for the
intensification of training of an increasing number of appropriate
specialists given the rapid growth of AI systems. In order to
replicate human and other species' natural intelligence in digital
AI systems, the researchers have been studying genetics and
inherited biological processes in-depth. These studies offer fresh
ideas for developing ever more powerful AI techniques. The featured
articles cover a variety of themes in the fields of mathematics and
biomathematics, medical approaches, technical and educational
approaches, and medical approaches. The book is a compilation of
recent academic papers in the discipline, covering a wide range of
topics that are important to both business managers and engineers.
This proceedings is a fantastic resource for asset management
practitioners, researchers, and academics, as well as undergraduate
and graduate students who are interested in AI, bioinformatics
systems, and their developing applications. This is due to the
breadth and depth of the proceedings. Experts, students, and other
people who are interested in learning about how AI systems might be
used in the future are the target audience.
The book's general scope covers the latest advances in the
development of artificial intelligence systems and their
applications in engineering and manufacturing. The book comprises
refereed papers presented at the International Symposium on
Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on
December 24-26, 2021. Given the rapid development of artificial
intelligence systems, the book emphasizes the need for the
intensification of training of a growing number of relevant
specialists, in particular in engineering and manufacturing, to
increase the effectiveness of the creation and diagnosis of
appropriate technical solutions. In digital artificial intelligence
systems, scientists endeavor to reproduce the innate intellectual
abilities of humans and other organisms. In-depth studies of
biological and self-organizing systems can provide new approaches
to create more and more effective artificial intelligence methods.
The topics of the included papers concern thematic materials in the
following spheres: mathematics and computer algorithms; analysis of
some technical solutions; technological. The book is a compilation
of state-of-the-art papers in the field, covering a comprehensive
range of subjects that are relevant to business managers and
engineering professionals alike. The breadth and depth of these
proceedings make them an excellent resource for asset management
practitioners, researchers, and academics, as well as undergraduate
and postgraduate students interested in artificial intelligence
systems and their growing applications. Specialists, students, and
other groups of people who want to know how artificial intelligence
systems can be used in the future will be the target audience for
this book.
This book includes refereed papers presented at the Second
International Conference on Artificial Intelligence and Power
Engineering (AIPE2021), which was held in Moscow, Russia, on
December 17-19, 2021. The general scope of the book includes the
most recent advances in the development of artificial intelligence
systems and their applications in a variety of fields, ranging from
power engineering to biology and education. Given the rapid
development of artificial intelligence systems, the book emphasizes
the importance of intensifying training for a growing number of
relevant specialists, particularly in energy and power engineering,
in order to improve the effectiveness of the creation and diagnosis
of appropriate technical solutions. Scientists are attempting to
replicate the innate intellectual abilities of humans and other
organisms in digital artificial intelligence systems. In-depth
research into biological and self-organizing systems can provide
new approaches for developing more and more effective artificial
intelligence methods. The papers included in this volume cover
thematic materials in the following areas: mathematics and computer
algorithms; analysis of some technical solutions; and technological
and educational approaches. The book is a collection of
cutting-edge papers in the field, covering a wide range of topics
relevant to both business managers and engineering professionals.
These proceedings are an excellent resource for asset management
practitioners, researchers, and academics, as well as undergraduate
and postgraduate students interested in artificial intelligence
systems and their expanding applications, due to their breadth and
depth. The intended readership includes specialists, students, and
other groups of readers who want to know where artificial
intelligence systems can be used to great advantage in the future.
This book broadly covers a scope of the latest advances for the
development of artificial intelligence systems and their
applications in various fields from medicine and technology to
education. The proceedings comprise refereed papers presented at
the Fifth International Conference of Artificial Intelligence,
Medical Engineering, and Education (AIMEE2021), which took place at
the Mechanical Engineering Institute of the Russian Academy of
Sciences, Moscow, Russia, on 1-3 October 2021. Given the rapid
development of artificial intelligence systems, the book emphasizes
the need for the intensification of training of a growing number of
relevant specialists, in particular, in medical engineering to
increase the effectiveness of medical diagnosing and treatment. In
digital artificial intelligence systems, scientists endeavour to
reproduce the innate intellectual abilities of humans and other
organisms, and the in-depth study of genetic systems and inherited
biological processes can provide new approaches to create more and
more effective artificial intelligence methods. Topics of the
included papers concern thematic materials in the following
spheres: mathematics and biomathematics; medical approaches;
technological and educational approaches. The book is a compilation
of cutting-edge research papers in the field, covering a
comprehensive range of subjects that are relevant to business
managers and engineering professionals alike. The breadth and depth
of these proceedings make them an excellent resource for asset
management practitioners, researchers, and academics, as well as
undergraduate and postgraduate students who are interested in
artificial intelligence, bioinformatics systems, also their
expanding applications. The intended readership includes
specialists, students, and other circles of readers who would like
to know where artificial intelligence systems can be applied in the
future with great benefit.
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