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Showing 1 - 13 of
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From artificial neural net / game theory / semantic applications,
to modeling tools, smart manufacturing systems, and data science
research - this book offers a broad overview of modern intelligent
methods and applications of machine learning, evolutionary
computation, Industry 4.0 technologies, and autonomous agents
leading to the Internet of Things and potentially a new
technological revolution. Though chiefly intended for IT
professionals, it will also help a broad range of users of future
emerging technologies adapt to the new smart / intelligent wave. In
separate chapters, the book highlights fourteen successful examples
of recent advances in the rapidly evolving area of intelligent
systems. Covering major European projects paving the way to a
serious smart / intelligent collaboration, the chapters explore
e.g. cyber-security issues, 3D digitization, aerial robots, and
SMEs that have introduced cyber-physical production systems. Taken
together, they offer unique insights into contemporary artificial
intelligence and its potential for innovation.
From artificial neural net / game theory / semantic applications,
to modeling tools, smart manufacturing systems, and data science
research - this book offers a broad overview of modern intelligent
methods and applications of machine learning, evolutionary
computation, Industry 4.0 technologies, and autonomous agents
leading to the Internet of Things and potentially a new
technological revolution. Though chiefly intended for IT
professionals, it will also help a broad range of users of future
emerging technologies adapt to the new smart / intelligent wave. In
separate chapters, the book highlights fourteen successful examples
of recent advances in the rapidly evolving area of intelligent
systems. Covering major European projects paving the way to a
serious smart / intelligent collaboration, the chapters explore
e.g. cyber-security issues, 3D digitization, aerial robots, and
SMEs that have introduced cyber-physical production systems. Taken
together, they offer unique insights into contemporary artificial
intelligence and its potential for innovation.
By presenting the latest advances in fuzzy sets and computing with
words from around the globe, this book disseminates recent
innovations in advanced intelligent technologies and systems. From
intelligent control and intuitionistic fuzzy quantifiers to various
data science and industrial applications, it includes a wide range
of valuable lessons learned and ideas for future intelligent
products and systems.
This book presents recent advances in the field of intelligent
systems. Composed of fourteen selected chapters, it covers a wide
range of research that varies from applications in industrial data
science to those in applied science. Today the word INNOVATION is
more and more connected with the words INTELLIGENT and SECURITY, as
such the book discusses the theory and applications of hot topics
such as big data, education applications of robots with different
levels of autonomy, knowledge-based modeling and control of complex
dynamical systems, sign-based synthesis of behavior, security
issues with intelligent systems, innovative intelligent control
design, neuromorphic computation, data-driven classification,
intelligent modeling and measurement innovations, multisensor data
association, personal education assistants, a modern production
architecture, study of peer review and scientometrics, intelligent
research on bug report data, and clustering non-Gaussian data. The
broad and varied research discussed represents the mainstream of
contemporary intelligent innovations that are slowly but surely
changing the world.
This volume is a brief, yet comprehensive account of new
development, tools, techniques and solutions in the broadly
perceived "intelligent systems". New concepts and ideas concern the
development of effective and efficient models which would make it
possible to effectively and efficiently describe and solve
processes in various areas of science and technology. Special
emphasis is on the dealing with uncertainty and imprecision that
permeates virtually all real world processes and phenomena, and has
to properly be modeled by formal and algorithmic tools and
techniques so that they be adequate and useful. The papers in this
volume concern a wide array of possible techniques exemplified by,
on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy,
neuro-fuzzy, etc. approaches. On the other hand, they represent the
use of such systems modeling tools as generalized nets,
optimization and control models, systems analytic models, etc. They
concerns a variety of approaches, from pattern recognition, image
analysis, education system modeling, biological and medical systems
modeling, etc.
By presenting the latest advances in fuzzy sets and computing with
words from around the globe, this book disseminates recent
innovations in advanced intelligent technologies and systems. From
intelligent control and intuitionistic fuzzy quantifiers to various
data science and industrial applications, it includes a wide range
of valuable lessons learned and ideas for future intelligent
products and systems.
This book presents a broad variety of different contemporary IT
methods and applications in Intelligent Systems is displayed. Every
book chapter represents a detailed, specific, far reaching and
original re-search in a respective scientific and practical field.
However, all of the chapters share the common point of strong
similarity in a sense of being innovative, applicable and mutually
compatible with each other. In other words, the methods from the
different chapters can be viewed as bricks for building the next
generation "thinking machines" as well as for other futuristic
logical applications that are rapidly changing our world nowadays.
This volume is a brief, yet comprehensive account of new
development, tools, techniques and solutions in the broadly
perceived "intelligent systems". New concepts and ideas concern the
development of effective and efficient models which would make it
possible to effectively and efficiently describe and solve
processes in various areas of science and technology. Special
emphasis is on the dealing with uncertainty and imprecision that
permeates virtually all real world processes and phenomena, and has
to properly be modeled by formal and algorithmic tools and
techniques so that they be adequate and useful. The papers in this
volume concern a wide array of possible techniques exemplified by,
on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy,
neuro-fuzzy, etc. approaches. On the other hand, they represent the
use of such systems modeling tools as generalized nets,
optimization and control models, systems analytic models, etc. They
concerns a variety of approaches, from pattern recognition, image
analysis, education system modeling, biological and medical systems
modeling, etc.
This book presents a broad variety of different contemporary IT
methods and applications in Intelligent Systems is displayed. Every
book chapter represents a detailed, specific, far reaching and
original re-search in a respective scientific and practical field.
However, all of the chapters share the common point of strong
similarity in a sense of being innovative, applicable and mutually
compatible with each other. In other words, the methods from the
different chapters can be viewed as bricks for building the next
generation "thinking machines" as well as for other futuristic
logical applications that are rapidly changing our world nowadays.
In the modern science and technology there are some research
directions and ch- lenges which are at the forefront of world wide
research activities because of their relevance. This relevance may
be related to different aspects. First, from a point of view of
researchers it can be implied by just an analytic or algorithmic
difficulty in the solution of problems within an area. From a
broader perspective, this re- vance can be related to how important
problems and challenges in a particular area are to society,
corporate or national competitiveness, etc. Needless to say that
the latter, more global challenges are probably more decisive a
driving force for s- ence seen from a global perspective. One of
such "meta-challenges" in the present world is that of intelligent
s- tems. For a long time it has been obvious that the complexity of
our world and the speed of changes we face in virtually all
processes that have impact on our life imply a need to automate
many tasks and processes that have been so far limited to human
beings because they require some sort of intelligence.
In the modern science and technology there are some research
directions and ch- lenges which are at the forefront of world wide
research activities because of their relevance. This relevance may
be related to different aspects. First, from a point of view of
researchers it can be implied by just an analytic or algorithmic
difficulty in the solution of problems within an area. From a
broader perspective, this re- vance can be related to how important
problems and challenges in a particular area are to society,
corporate or national competitiveness, etc. Needless to say that
the latter, more global challenges are probably more decisive a
driving force for s- ence seen from a global perspective. One of
such "meta-challenges" in the present world is that of intelligent
s- tems. For a long time it has been obvious that the complexity of
our world and the speed of changes we face in virtually all
processes that have impact on our life imply a need to automate
many tasks and processes that have been so far limited to human
beings because they require some sort of intelligence.
This book represents the experience of successful researchers from
four continents on a broad range of intelligent systems, and it
hints how to avoid anticipated conflicts and problems during
multidisciplinary innovative research from Industry 4.0 and/or
Internet of Things through modern machine learning, and software
agent applications to open data science big data/advance
analytics/visual analytics/text mining/web mining/knowledge
discovery/deep data mining issues. The considered intelligent part
is essential in most smart/control systems, cyber security,
bioinformatics, virtual reality, robotics, mathematical modelling
projects, and its significance rapidly increases in other
technologies. Theoretical foundations of fuzzy sets, mathematical
and non-classical logic also are rapidly developing.
This book represents the experience of successful researchers from
four continents on a broad range of intelligent systems, and it
hints how to avoid anticipated conflicts and problems during
multidisciplinary innovative research from Industry 4.0 and/or
Internet of Things through modern machine learning, and software
agent applications to open data science big data/advance
analytics/visual analytics/text mining/web mining/knowledge
discovery/deep data mining issues. The considered intelligent part
is essential in most smart/control systems, cyber security,
bioinformatics, virtual reality, robotics, mathematical modelling
projects, and its significance rapidly increases in other
technologies. Theoretical foundations of fuzzy sets, mathematical
and non-classical logic also are rapidly developing.
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