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This new two-volume addresses a number of state-of-the-art
developments and unsolved open issues in the field of computational
intelligence. Volume 1 focuses on data science and artificial
intelligence. It highlights the use of predictive analytics of data
from various application domains to find timely solutions to
various problems. The book focuses on the research developments,
limitations, and management of real-time problems using
computational intelligence by identifying applicable approaches in
order to enhance, automate, and develop effective solutions. The
volume introduces empirical research, prospects of theoretical
research, and applications in data science and artificial
intelligence. The chapters present diverse application of computer
intelligence and machine learning in security, healthcare and
medicine, agriculture, traffic science/smart cities, and language
and text conversion. Volume 2 demonstrates empirical, theoretical,
and application perspectives on smart technologies, computational
intelligence in network technologies, and computational
intelligence in software engineering, identifying the advantages
and limitations of each. The chapters on smart technologies address
their application in such areas as communication services,
healthcare and assistive technology, urban waste management,
vehicle pollution and accident detection, and more. The
technologies encompass the use of machine learning, blockchain, fog
computing, satellite communication technology, ant colony
optimization algorithms, etc. Together, these two volumes offer new
research on presented by young and dynamic researchers and experts
from industry and academia, sharing a plethora of new and emerging
technologies that support their effective operations in
computational intelligence in information systems. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems’ (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
The new book presents a valuable selection of new and
state-of-the-art technological advancements in various application
areas using the concepts of AI and machine learning, highlighting
the use of predictive analytics of data from various application
domains to find timely solutions to various problems. The book
focuses on the research developments, limitations, and management
of real-time problems using computational intelligence by
identifying applicable approaches in order to enhance, automate,
and develop effective solutions. The volume introduces empirical
research, prospects of theoretical research, and applications in
data science and artificial intelligence. The various novel
approaches include applications in healthcare, natural language
processing, and smart cities. As such, the book is divided into
sections that address: Computational Intelligence in Image
Processing Computational Intelligence in Healthcare Techniques for
Natural Language Processing Computational Intelligence in Smart
Cities The very diverse range of topics include AI and machine
learning applications for In security: For using digital image
processing for image fusion (face recognition, feature extraction,
object detection as well tracking, moving object identification),
for person re-identification for security purposes. In healthcare
and medicine: For diagnosis and prediction of breast cancer, other
cancers, diabetes, heart disease; for predicting susceptibility to
COVID-19; for prediction of mood and anxiety disorders. In
agriculture: For prediction of crop profit; for prediction of
cropping patterns and recommendation for crop cultivation. In
traffic science/smart cities: For understanding road scene images,
for detection of traffic signs, for devising a fog-based
intelligent traffic phase timing regulation system In
language/speech/text: For automatic text summarization, for
document indexing for unstructured data, for speech/accent
recognition, for sound separation, for American Sign Language
interpretation for nonsigners, for emotional recognition and
analysis through speech, body postures with facial expressions, and
other body movements (to improve the performance of virtual
personal assistants / emotion recognition using speech, body
postures with facial expressions and other body movements. This
volume offers valuable information for researchers working in
interdisciplinary or multidisciplinary areas of healthcare, image
analysis, natural language processing, and smart cities. This
includes academicians, people in industry, and students with
engineering background with research interest in these areas. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
This new volume presents a selection of state-of-the-art
technological advancements in various application areas of IoT,
network technologies, and software engineering that address
unsolved open issues in the field of computational intelligence.
The volume focuses on empirical, theoretical, and application
perspectives on smart technologies, computational intelligence in
network technologies, and computational intelligence in software
engineering, identifying the advantages and limitations of each.
The chapters on smart technologies address their application in
such areas as communication services, healthcare and assistive
technology, urban waste management, vehicle pollution and accident
detection, and more. The technologies encompass the use of machine
learning, blockchain, fog computing, etc. The volume goes on to
discuss computational intelligence in network technologies. These
include comparisons of cryptography mechanisms, internet privacy
protection, satellite communication technology, ant colony
optimization algorithms, etc. The topics on computational
intelligence in software engineering include security optimization
via software-defined networking (SDN), education-based interactive
automated agent, data warehouse requirement engineering, and more.
The research contributions presented here by young and dynamic
researchers and experts from industry and academia share a host of
emerging technologies that support their effective operations in
computational intelligence in information systems. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
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Computer, Communication, and Signal Processing - 6th IFIP TC 5 International Conference, ICCCSP 2022, Chennai, India, February 24–25, 2022, Revised Selected Papers (1st ed. 2022)
Erich J Neuhold, Xavier Fernando, Joan Lu, Selwyn Piramuthu, Aravindan Chandrabose
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R3,483
Discovery Miles 34 830
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 6th
International Conference on Computer, Communication, and Signal
Processing, ICCSP 2022, held in Chennai, India, in February 2022.*
The 21 full and 2 short papers presented in this volume were
carefully reviewed and selected from 111 submissions. The papers
are categorized into topical sub-headings: artificial intelligence
and machine learning; Cyber security; and internet of things. *The
conference was held as a virtual event due to the COVID-19
pandemic.Â
This book presents Proceedings of the International Conference on
Intelligent Systems and Networks (ICISN 2021), held at Hanoi in
Vietnam. It includes peer-reviewed high-quality articles on
intelligent system and networks. It brings together professionals
and researchers in the area and presents a platform for exchange of
ideas and to foster future collaboration. The topics covered in
this book include-foundations of computer science; computational
intelligence language and speech processing; software engineering
software development methods; wireless communications signal
processing for communications; electronics track IoT and sensor
systems embedded systems; etc.
This book presents Proceedings of the International Conference on
Intelligent Systems and Networks (ICISN 2021), held at Hanoi in
Vietnam. It includes peer-reviewed high-quality articles on
intelligent system and networks. It brings together professionals
and researchers in the area and presents a platform for exchange of
ideas and to foster future collaboration. The topics covered in
this book include-foundations of computer science; computational
intelligence language and speech processing; software engineering
software development methods; wireless communications signal
processing for communications; electronics track IoT and sensor
systems embedded systems; etc.
This book covers sustainable development in smart society’s 5.0
using data analytics. The data analytics is the approach of
integrating diversified heterogeneous data for predictive analysis
to accredit innovation, decision making, business analysis, and
strategic decision making. The data science brings together the
research in the field of data analytics, online information
analytics, and big data analytics to synthesize issues, challenges,
and opportunities across smart society 5.0. Accordingly, the book
offers an interesting and insightful read for researchers in the
areas of decision analytics, cognitive analytics, big data
analytics, visual analytics, text analytics, spatial analytics,
risk analytics, graph analytics, predictive analytics, and
analytics-enabled applications.
This book presents the latest techniques for the design of antenna,
focusing specifically on the microstrip antenna. Â The authors
discuss antenna structure, defected ground, MIMO, and fractal
design. The book provides the design of microstrip antenna in terms
of latest applications and uses in areas like IoT and
device-to-device communication. The book also provides the current
methods and techniques used for the enhancement of the performance
parameters of the microstrip antenna. Chapters enhance the
knowledge and skills of students and researchers in the latest in
the communications world like IoT, D2D, satellite, wearable devices
etc. The authors discuss applications such as microwave
imaging, medical implants, hyperthermia treatments, and wireless
wellness monitoring and how a decrease in size of antenna help
facilitate application potential. Provides the latest techniques
used for the design of antenna in terms of its structure, defected
ground, MIMO and fractal design; Outlines steps to resolve issues
with designing antenna, including the latest design and design
parameters for microstrip antenna; Presents the design of conformal
and miniaturized antenna structures for various applications.
This book features the proceedings of The EAI International
Conference on Big Data Innovation for Sustainable Cognitive
Computing (BDCC 2020), which took place 18 - 19 December 2020. The
papers feature detail on cognitive computing and its self-learning
systems that use data mining, pattern recognition and natural
language processing (NLP) to mirror the way the human brain works.
This international conference focuses on technologies from
knowledge representation techniques and natural language processing
algorithms to dynamic learning approaches. Topics covered include
Data Science for Cognitive Analysis, Real-Time Ubiquitous Data
Science, Platform for Privacy Preserving Data Science, and
Internet-Based Cognitive Platform.
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Computer, Communication, and Signal Processing - 6th IFIP TC 5 International Conference, ICCCSP 2022, Chennai, India, February 24-25, 2022, Revised Selected Papers (Hardcover, 1st ed. 2022)
Erich J Neuhold, Xavier Fernando, Joan Lu, Selwyn Piramuthu, Aravindan Chandrabose
|
R3,518
Discovery Miles 35 180
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 6th
International Conference on Computer, Communication, and Signal
Processing, ICCSP 2022, held in Chennai, India, in February 2022.*
The 21 full and 2 short papers presented in this volume were
carefully reviewed and selected from 111 submissions. The papers
are categorized into topical sub-headings: artificial intelligence
and machine learning; Cyber security; and internet of things. *The
conference was held as a virtual event due to the COVID-19
pandemic.
This book covers sustainable development in smart society's 5.0
using data analytics. The data analytics is the approach of
integrating diversified heterogeneous data for predictive analysis
to accredit innovation, decision making, business analysis, and
strategic decision making. The data science brings together the
research in the field of data analytics, online information
analytics, and big data analytics to synthesize issues, challenges,
and opportunities across smart society 5.0. Accordingly, the book
offers an interesting and insightful read for researchers in the
areas of decision analytics, cognitive analytics, big data
analytics, visual analytics, text analytics, spatial analytics,
risk analytics, graph analytics, predictive analytics, and
analytics-enabled applications.
This book presents the latest techniques for the design of antenna,
focusing specifically on the microstrip antenna. The authors
discuss antenna structure, defected ground, MIMO, and fractal
design. The book provides the design of microstrip antenna in terms
of latest applications and uses in areas like IoT and
device-to-device communication. The book also provides the current
methods and techniques used for the enhancement of the performance
parameters of the microstrip antenna. Chapters enhance the
knowledge and skills of students and researchers in the latest in
the communications world like IoT, D2D, satellite, wearable devices
etc. The authors discuss applications such as microwave imaging,
medical implants, hyperthermia treatments, and wireless wellness
monitoring and how a decrease in size of antenna help facilitate
application potential. Provides the latest techniques used for the
design of antenna in terms of its structure, defected ground, MIMO
and fractal design; Outlines steps to resolve issues with designing
antenna, including the latest design and design parameters for
microstrip antenna; Presents the design of conformal and
miniaturized antenna structures for various applications.
This book features the proceedings of The EAI International
Conference on Big Data Innovation for Sustainable Cognitive
Computing (BDCC 2020), which took place 18 - 19 December 2020. The
papers feature detail on cognitive computing and its self-learning
systems that use data mining, pattern recognition and natural
language processing (NLP) to mirror the way the human brain works.
This international conference focuses on technologies from
knowledge representation techniques and natural language processing
algorithms to dynamic learning approaches. Topics covered include
Data Science for Cognitive Analysis, Real-Time Ubiquitous Data
Science, Platform for Privacy Preserving Data Science, and
Internet-Based Cognitive Platform.
This book highlights a timely and accurate insight at the endeavour
of the bioinformatics and genomics clinicians from industry and
academia to address the societal needs. The contents of the book
unearth the lacuna between the medication and treatment in the
current preventive medicinal and pharmaceutical system. It contains
chapters prepared by experts in life sciences along with data
scientists for examining the circumstances of health care system
for the next decade. It also highlights the automated processes for
analyzing data in clinical trial research, specifically for drug
development. Additionally, the data science solutions provided in
this book help pharmaceutical companies to improve on what had
historically been manual, costly and laborious process for
cross-referencing research in clinical trials on drug development,
while laying the groundwork for use with a full range of other
drugs for the conditions ranging from tuberculosis, to diabetes, to
heart attacks and many others.
Across numerous industries in modern society, there is a constant
need to gather precise and relevant data efficiently and quickly.
As such, it is imperative to research new methods and approaches to
increase productivity in these areas. Next-Generation Information
Retrieval and Knowledge Resources Management is a key source on the
latest advancements in multidisciplinary research methods and
applications and examines effective techniques for managing and
utilizing information resources. Featuring extensive coverage
across a range of relevant perspectives and topics, such as
knowledge discovery, spatial indexing, and data mining, this book
is ideally designed for researchers, graduate students, academics,
and industry professionals seeking ways to optimize knowledge
management processes.
Across numerous industries in modern society, there is a constant
need to gather precise and relevant data efficiently and quickly.
As such, it is imperative to research new methods and approaches to
increase productivity in these areas. Ontologies and Big Data
Considerations for Effective Intelligence is a key source on the
latest advancements in multidisciplinary research methods and
applications and examines effective techniques for managing and
utilizing information resources. Featuring extensive coverage
across a range of relevant perspectives and topics, such as visual
analytics, spatial databases, retrieval systems, and ontology
models, this book is ideally designed for researchers, graduate
students, academics, and industry professionals seeking ways to
optimize knowledge management processes.
Daily procedures such as scientific experiments and business
processes have the potential to create a huge amount of data every
day, hour, or even second, and this may lead to a major problem for
the future of efficient data search and retrieval as well as secure
data storage for the world's scientists, engineers, doctors,
librarians, and business managers.Design, Performance, and Analysis
of Innovative Information Retrieval examines a number of emerging
technologies that significantly contribute to modern Information
Retrieval (IR), as well as fundamental IR theories and concepts
that have been adopted into new tools or systems. This reference is
essential to researchers, educators, professionals, and students
interested in the future of IR.
The internet provides a vast amount of data which can be utilised
to explore different approaches to solving industry problems.
Efficient methods for the retrieval of this information are
essential for streamlined business processes. Information Retrieval
Methods for Multidisciplinary Applications provides innovative
research on information gathering, web data mining, and automation
systems. Addressing multidisciplinary applications and focusing on
theories and methods with an enterprise-wide perspective, this book
is essential for information engineers, scientists, and related
professionals.
Mobile Learning is a new trend in pedagogical communities. It
matches the speed of fast moving methodologies in pedagogical
world. The theories of activity-based learning, problem-based
learning, work-based learning, and opinion-based learning,
learner-centered learning, and so forth, can be integrated with
these tiny handheld devices. Students and teachers communicate
effectively and efficiently with these simple clicks to obtain the
formative/informative and summative feedbacks. The learning
outcomes for both ability and knowledge can be smartly measured and
observed through the latest ICT technologies. Learning with Mobile
Technologies, Handheld Devices and Smart Phones: Innovative Methods
presents a collection of innovative research which focuses on
learning in the digital world with advanced mobile technologies.
This reference will aim to bring researchers, professors, and
lectures and industrial training associations together to introduce
a new era of teaching and learning societies.
Information and Knowledge Engineering is a compendium of articles
and papers that were presented at IKE '13, an international
conference that serves researchers, scholars, professionals,
students, and academicians. Selected topics include: Knowledge
Engineering and Management + Knowledge Acquisition Databases,
Information Retrieval and Search Decision Support Systems Mining of
Data Rich Sources Data and Information Mining + Forecasting Methods
Novel Methodologies and Applications Information Retrieval,
Learning Methods, and Social Networks Data Mining, Opinion
Management, Software Quality Issues, Bioinformatics, and
Applications
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