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Simplicity and Uniqueness Structure of the book content Simple
English and Ease of Undersatanding Exhaustive research in the
content of the book
This book addresses different methods and techniques of integration
for enhancing the overall goal of data mining. The book is a
collection of high-quality peer-reviewed research papers presented
in the Sixth International Conference on Computational Intelligence
in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology
and Management, Tekkali, Andhra Pradesh, India, during December
11–12, 2021. The book addresses the difficulties and challenges
for the seamless integration of two core disciplines of computer
science, i.e., computational intelligence and data mining. The book
helps to disseminate the knowledge about some innovative, active
research directions in the field of data mining, machine and
computational intelligence, along with some current issues and
applications of related topics.
This book consists of peer-reviewed papers presented at the First
International Conference on Intelligent Computing in Control and
Communication (ICCC 2020). It comprises interesting topics in the
field of applications of control engineering, communication and
computing technology. As the current world is witnessing the use of
various intelligent techniques for their independent problem
solving, so this book may have a wide importance for all range of
researchers and scholars. The book serves as a reference for
researchers, professionals and students from across electrical,
electronic and computer engineering disciplines.
This book consists of peer-reviewed papers presented at the First
International Conference on Intelligent Computing in Control and
Communication (ICCC 2020). It comprises interesting topics in the
field of applications of control engineering, communication and
computing technology. As the current world is witnessing the use of
various intelligent techniques for their independent problem
solving, so this book may have a wide importance for all range of
researchers and scholars. The book serves as a reference for
researchers, professionals and students from across electrical,
electronic and computer engineering disciplines.
This book provides theoretical background and state-of-the-art
findings in artificial intelligence and cybersecurity for industry
4.0 and helps in implementing AI-based cybersecurity applications.
Machine learning-based security approaches are vulnerable to poison
datasets which can be caused by a legitimate defender's
misclassification or attackers aiming to evade detection by
contaminating the training data set. There also exist gaps between
the test environment and the real world. Therefore, it is critical
to check the potentials and limitations of AI-based security
technologies in terms of metrics such as security, performance,
cost, time, and consider how to incorporate them into the real
world by addressing the gaps appropriately. This book focuses on
state-of-the-art findings from both academia and industry in big
data security relevant sciences, technologies, and applications.
​
This book features high-quality research papers presented at the
2nd International Conference on Computational Intelligence in
Pattern Recognition (CIPR 2020), held at the Institute of
Engineering and Management, Kolkata, West Bengal, India, on 4-5
January 2020. It includes practical development experiences in
various areas of data analysis and pattern recognition, focusing on
soft computing technologies, clustering and classification
algorithms, rough set and fuzzy set theory, evolutionary
computations, neural science and neural network systems, image
processing, combinatorial pattern matching, social network
analysis, audio and video data analysis, data mining in dynamic
environments, bioinformatics, hybrid computing, big data analytics
and deep learning. It also provides innovative solutions to the
challenges in these areas and discusses recent developments.
This proceeding discuss the latest solutions, scientific findings
and methods for solving intriguing problems in the fields of data
mining, computational intelligence, big data analytics, and soft
computing. This gathers outstanding papers from the fifth
International Conference on "Computational Intelligence in Data
Mining" (ICCIDM), and offer a "sneak preview" of the strengths and
weaknesses of trending applications, together with exciting
advances in computational intelligence, data mining, and related
fields.
This book presents practical development experiences in different
areas of data analysis and pattern recognition, focusing on soft
computing technologies, clustering and classification algorithms,
rough set and fuzzy set theory, evolutionary computations, neural
science and neural network systems, image processing, combinatorial
pattern matching, social network analysis, audio and video data
analysis, data mining in dynamic environments, bioinformatics,
hybrid computing, big data analytics and deep learning. It also
provides innovative solutions to the challenges in these areas and
discusses recent developments.
Computational Intelligence in Cancer Diagnosis: Progress and
Challenges provides insights into the current strength and
weaknesses of different applications and research findings on
computational intelligence in cancer research. The book improves
the exchange of ideas and coherence among various computational
intelligence methods and enhances the relevance and exploitation of
application areas for both experienced and novice end-users. Topics
discussed include neural networks, fuzzy logic, connectionist
systems, genetic algorithms, evolutionary computation, cellular
automata, self-organizing systems, soft computing, fuzzy systems,
and hybrid intelligent systems. The book's chapters are written by
international experts from both cancer research, oncology and
computational sides to cover different aspects and make it
comprehensible for readers with no background on informatics.
This book features high-quality research papers presented at the
3rd International Conference on Computational Intelligence in
Pattern Recognition (CIPR 2021), held at the Institute of
Engineering and Management, Kolkata, West Bengal, India, on 24 - 25
April 2021. It includes practical development experiences in
various areas of data analysis and pattern recognition, focusing on
soft computing technologies, clustering and classification
algorithms, rough set and fuzzy set theory, evolutionary
computations, neural science and neural network systems, image
processing, combinatorial pattern matching, social network
analysis, audio and video data analysis, data mining in dynamic
environments, bioinformatics, hybrid computing, big data analytics
and deep learning. It also provides innovative solutions to the
challenges in these areas and discusses recent developments.
This book gathers selected papers presented at the
5th International Conference on Intelligent Data
Communication Technologies and Internet of Things (ICICI 2021),
organized by JCT College of Engineering and Technology, Coimbatore,
Tamil Nadu, India during 27 – 28 August 2021. This book solicits
the innovative research ideas and solutions for almost all the
intelligent data intensive theories and application domains. The
general scope of this book covers the design, architecture,
modeling, software, infrastructure and applications of intelligent
communication architectures and systems for big data or
data-intensive applications. In particular, this book reports the
novel and recent research works on big data, mobile and wireless
networks, artificial intelligence, machine learning, social network
mining, intelligent computing technologies, image analysis,
robotics and autonomous systems, data security and privacy.
This book features high-quality research papers presented at the
4th International Conference on Computational Intelligence in
Pattern Recognition (CIPR 2022), held at Indian Institute of
Engineering Science and Technology, Shibpur, Howrah, West Bengal,
India, during 23 - 24 April 2022. It includes practical development
experiences in various areas of data analysis and pattern
recognition, focusing on soft computing technologies, clustering
and classification algorithms, rough set and fuzzy set theory,
evolutionary computations, neural science and neural network
systems, image processing, combinatorial pattern matching, social
network analysis, audio and video data analysis, data mining in
dynamic environments, bioinformatics, hybrid computing, big data
analytics and deep learning. It also provides innovative solutions
to the challenges in these areas and discusses recent developments.
This book addresses different methods and techniques of integration
for enhancing the overall goal of data mining. The book is a
collection of high-quality peer-reviewed research papers presented
in the Sixth International Conference on Computational Intelligence
in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology
and Management, Tekkali, Andhra Pradesh, India, during December
11-12, 2021. The book addresses the difficulties and challenges for
the seamless integration of two core disciplines of computer
science, i.e., computational intelligence and data mining. The book
helps to disseminate the knowledge about some innovative, active
research directions in the field of data mining, machine and
computational intelligence, along with some current issues and
applications of related topics.
This book gathers selected papers presented at the 5th
International Conference on Intelligent Data Communication
Technologies and Internet of Things (ICICI 2021), organized by JCT
College of Engineering and Technology, Coimbatore, Tamil Nadu,
India during 27 - 28 August 2021. This book solicits the innovative
research ideas and solutions for almost all the intelligent data
intensive theories and application domains. The general scope of
this book covers the design, architecture, modeling, software,
infrastructure and applications of intelligent communication
architectures and systems for big data or data-intensive
applications. In particular, this book reports the novel and recent
research works on big data, mobile and wireless networks,
artificial intelligence, machine learning, social network mining,
intelligent computing technologies, image analysis, robotics and
autonomous systems, data security and privacy.
Handbook of Computational Intelligence in Biomedical Engineering
and Healthcare helps readers analyze and conduct advanced research
in specialty healthcare applications surrounding oncology, genomics
and genetic data, ontologies construction, bio-memetic systems,
biomedical electronics, protein structure prediction, and
biomedical data analysis. The book provides the reader with a
comprehensive guide to advanced computational intelligence,
spanning deep learning, fuzzy logic, connectionist systems,
evolutionary computation, cellular automata, self-organizing
systems, soft computing, and hybrid intelligent systems in
biomedical and healthcare applications. Sections focus on important
biomedical engineering applications, including biosensors, enzyme
immobilization techniques, immuno-assays, and nanomaterials for
biosensors and other biomedical techniques. Other sections cover
gene-based solutions and applications through computational
intelligence techniques and the impact of nonlinear/unstructured
data on experimental analysis.
This book includes selected papers from the International
Conference on Green Technology for Smart City and Society (GTSCS
2020), organized by the Institute of Technical Education and
Research, Siksha 'O' Anusandhan University, Bhubaneswar, India,
during 13-14 August 2020. The book covers topics such as machine
learning, artificial intelligence, deep learning, optimization
algorithm, IoT, signal processing, etc. The book is helpful for
researchers working in the discipline of Electrical, Electronics
and Computer Science. The researchers working in the allied domain
of communication and control will also find the book useful as it
deals with the latest methodologies and applications.
This book features research papers presented at the 5th
International Conference on Intelligent Sustainable Systems (ICISS
2022), held at SCAD College of Engineering and Technology,
Tirunelveli, Tamil Nadu, India, during February 17-18, 2022. The
book discusses latest research works that discusses the tools,
methodologies, practices, and applications of sustainable systems
and computational intelligence methodologies. The book is
beneficial for readers from both academia and industry.
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