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Intelligent Techniques for Cyber-Physical Systems covers
challenges, opportunities, and open research directions for
cyber-physical systems (CPS). It focuses on the design and
development of machine learning and metaheuristics-enabled methods
as well as blockchain for various challenges like security,
resource management, computation offloading, trust management, and
others in edge, fog, and cloud computing, Internet of Things (IoT),
Internet of Everything (IoE) and smart cities. It also includes the
design and analysis of deep learning-based models, sensing
technologies, metaheuristics, and blockchain for complex real-life
systems for CPS. Offers perspectives on the research directions in
cyber-physical systems (CPS) Provides state-of-the-art reviews on
intelligent techniques, machine learning, deep learning, and
reinforcement learning-based models for cloud-enabled IoT
environment Discusses intelligent techniques for complex real-life
problems in different CPS scenarios Reviews advancements in
blockchain technology and smart cities Explores machine
learning-based intelligent models for combinatorial optimization
problems The book is aimed at researchers and graduate students in
computer science and engineering and electrical and electronics
engineering.
The text covers recent advances in artificial intelligence, smart
computing, and their applications in augmenting medical and health
care systems. It will serve as an ideal reference text for graduate
students and academic researchers in diverse engineering fields
including electrical, electronics and communication, computer, and
biomedical. The book- Presents architecture, characteristics, and
applications of artificial intelligence and smart computing in
health care systems Highlight privacy issues faced in health care
and health informatics using artificial intelligence and smart
computing technologies. Discusses nature-inspired computing
algorithms for the brain-computer interface. Covers graph neural
network application in the medical domain. Provides insights into
the state-of-the-art Artificial Intelligence and Smart Computing
enabling and emerging technologies. This book text discusses recent
advances and applications of artificial intelligence and smart
technologies in the field of healthcare. It highlights privacy
issues faced in health care and health informatics using artificial
intelligence and smart computing technologies. It covers
nature-inspired computing algorithms such as genetic algorithms,
particle swarm optimization algorithms, and common scrambling
algorithms to study brain-computer interfaces. It will serve as an
ideal reference text for graduate students and academic researchers
in the fields of electrical engineering, electronics and
communication engineering, computer engineering, and biomedical
engineering.
This book gathers selected papers presented at 3rd International
Conference on Communication and Computational Technologies (ICCCT
2021), jointly organized in virtual format by Rajasthan Institute
of Engineering and Technology, Jaipur and Rajasthan Technical
University Kota in association with Soft Computing Research
Society, during 27-28 February 2021. The volume is a collection of
state-of-the-art research work in the cutting-edge technologies
related to communication and intelligent systems. The topics
covered are algorithms and applications of intelligent systems,
informatics and applications, and communication and control
systems.
This book gathers selected papers presented at 3rd International
Conference on Communication and Computational Technologies (ICCCT
2021), jointly organized in virtual format by Rajasthan Institute
of Engineering and Technology, Jaipur and Rajasthan Technical
University Kota in association with Soft Computing Research
Society, during 27-28 February 2021. The volume is a collection of
state-of-the-art research work in the cutting-edge technologies
related to communication and intelligent systems. The topics
covered are algorithms and applications of intelligent systems,
informatics and applications, and communication and control
systems.
This book gathers outstanding research papers presented at the
International Conference on Intelligent Vision and Computing (ICIVC
2021), held online during October 03-04, 2021. ICIVC 2021 is
organised by Sur University, Oman. The book presents novel
contributions in intelligent vision and computing and serves as
reference material for beginners and advanced research. The topics
covered are intelligent systems, intelligent data analytics and
computing, intelligent vision and applications collective
intelligence, soft computing, optimization, cloud computing,
machine learning, intelligent software, robotics, data science,
data security, big data analytics, and signal natural language
processing.
This book covers the latest advancements in the areas of machine
learning, computer vision, pattern recognition, computational
learning theory, big data analytics, network intelligence, signal
processing, and their applications in real world. The topics
covered in machine learning involve feature extraction, variants
of support vector machine (SVM), extreme learning machine
(ELM), artificial neural network (ANN), and other areas in
machine learning. The mathematical analysis of computer vision and
pattern recognition involves the use of geometric techniques,
scene understanding and modeling from video, 3D object recognition,
localization and tracking, medical image analysis, and so on.
Computational learning theory involves different kinds of learning
like incremental, online, reinforcement, manifold, multitask,
semi-supervised, etc. Further, it covers the real-time challenges
involved while processing big data analytics and stream processing
with the integration of smart data computing services and
interconnectivity. Additionally, it covers the recent developments
to network intelligence for analyzing the network information
and thereby adapting the algorithms dynamically to improve the
efficiency. In the last, it includes the progress in signal
processing to process the normal and abnormal categories of
real-world signals, for instance signals generated from IoT
devices, smart systems, speech, videos, etc., and involves
biomedical signal processing: electrocardiogram (ECG),
electroencephalogram (EEG), magnetoencephalography (MEG), and
electromyogram (EMG).
This book gathers outstanding research papers presented at the
International Conference on Intelligent Vision and Computing (ICIVC
2021), held online during October 03–04, 2021. ICIVC 2021 is
organised by Sur University, Oman. The book presents novel
contributions in intelligent vision and computing and serves as
reference material for beginners and advanced research. The topics
covered are intelligent systems, intelligent data analytics and
computing, intelligent vision and applications collective
intelligence, soft computing, optimization, cloud computing,
machine learning, intelligent software, robotics, data science,
data security, big data analytics, and signal natural language
processing.
This book covers the latest advancements in the areas of machine
learning, computer vision, pattern recognition, computational
learning theory, big data analytics, network intelligence, signal
processing, and their applications in real world. The topics
covered in machine learning involve feature extraction, variants of
support vector machine (SVM), extreme learning machine (ELM),
artificial neural network (ANN), and other areas in machine
learning. The mathematical analysis of computer vision and pattern
recognition involves the use of geometric techniques, scene
understanding and modeling from video, 3D object recognition,
localization and tracking, medical image analysis, and so on.
Computational learning theory involves different kinds of learning
like incremental, online, reinforcement, manifold, multitask,
semi-supervised, etc. Further, it covers the real-time challenges
involved while processing big data analytics and stream processing
with the integration of smart data computing services and
interconnectivity. Additionally, it covers the recent developments
to network intelligence for analyzing the network information and
thereby adapting the algorithms dynamically to improve the
efficiency. In the last, it includes the progress in signal
processing to process the normal and abnormal categories of
real-world signals, for instance signals generated from IoT
devices, smart systems, speech, videos, etc., and involves
biomedical signal processing: electrocardiogram (ECG),
electroencephalogram (EEG), magnetoencephalography (MEG), and
electromyogram (EMG).
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