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This book presents best selected research papers presented at the
International Conference on Recent Trends in Communication and
Intelligent Systems (ICRTCIS 2020), organized by Arya College of
Engineering and IT, Jaipur, on 20-21 November 2020. It discusses
the latest technologies in communication and intelligent systems,
covering various areas of communication engineering, such as signal
processing, VLSI design, embedded systems, wireless communications,
and electronics and communications in general. Featuring work by
leading researchers and technocrats, the book serves as a valuable
reference resource for young researchers and academics as well as
practitioners in industry.
This book gathers selected high-quality research papers presented
at the International Conference on Paradigms of Communication,
Computing and Data Sciences (PCCDS 2021), held at the National
Institute of Technology, Kurukshetra, India, during May 07-09,
2021. It discusses high-quality and cutting-edge research in the
areas of advanced computing, communications, and data science
techniques. The book is a collection of latest research articles in
computation algorithm, communication, and data sciences,
intertwined with each other for efficiency.
This book presents best selected research papers presented at the
International Conference on Recent Trends in Communication and
Intelligent Systems (ICRTCIS 2020), organized by Arya College of
Engineering and IT, Jaipur, on 20-21 November 2020. It discusses
the latest technologies in communication and intelligent systems,
covering various areas of communication engineering, such as signal
processing, VLSI design, embedded systems, wireless communications,
and electronics and communications in general. Featuring work by
leading researchers and technocrats, the book serves as a valuable
reference resource for young researchers and academics as well as
practitioners in industry.
This two-volume book provides an insight into the 10th
International Conference on Soft Computing for Problem Solving
(SocProS 2020). This international conference is a joint technical
collaboration of Soft Computing Research Society and Indian
Institute of Technology Indore. The book presents the latest
achievements and innovations in the interdisciplinary areas of soft
computing. It brings together the researchers, engineers and
practitioners to discuss thought-provoking developments and
challenges, in order to select potential future directions. It
covers original research papers in the areas including but not
limited to algorithms (artificial immune system, artificial neural
network, genetic algorithm, genetic programming and particle swarm
optimization) and applications (control systems, data mining and
clustering, finance, weather forecasting, game theory, business and
forecasting applications). The book will be beneficial for young as
well as experienced researchers dealing across complex and
intricate real-world problems for which finding a solution by
traditional methods is a difficult task.
This two-volume book provides an insight into the 10th
International Conference on Soft Computing for Problem Solving
(SocProS 2020). This international conference is a joint technical
collaboration of Soft Computing Research Society and Indian
Institute of Technology Indore. The book presents the latest
achievements and innovations in the interdisciplinary areas of soft
computing. It brings together the researchers, engineers and
practitioners to discuss thought-provoking developments and
challenges, in order to select potential future directions. It
covers original research papers in the areas including but not
limited to algorithms (artificial immune system, artificial neural
network, genetic algorithm, genetic programming and particle swarm
optimization) and applications (control systems, data mining and
clustering, finance, weather forecasting, game theory, business and
forecasting applications). The book will be beneficial for young as
well as experienced researchers dealing across complex and
intricate real-world problems for which finding a solution by
traditional methods is a difficult task.
This book is a collection of selected papers presented at the First
Congress on Intelligent Systems (CIS 2020), held in New Delhi,
India during September 5 - 6, 2020. It includes novel and
innovative work from experts, practitioners, scientists and
decision-makers from academia and industry. It covers topics such
as Internet of Things, information security, embedded systems,
real-time systems, cloud computing, big data analysis, quantum
computing, automation systems, bio-inspired intelligence, cognitive
systems, cyber physical systems, data analytics, data/web mining,
data science, intelligence for security, intelligent decision
making systems, intelligent information processing, intelligent
transportation, artificial intelligence for machine vision, imaging
sensors technology, image segmentation, convolutional neural
network, image/video classification, soft computing for machine
vision, pattern recognition, human computer interaction, robotic
devices and systems, autonomous vehicles, intelligent control
systems, human motor control, game playing, evolutionary
algorithms, swarm optimization, neural network, deep learning,
supervised learning, unsupervised learning, fuzzy logic, rough
sets, computational optimization, and neuro fuzzy systems.
This book is a collection of selected papers presented at the First
Congress on Intelligent Systems (CIS 2020), held in New Delhi,
India, during September 5-6, 2020. It includes novel and innovative
work from experts, practitioners, scientists, and decision-makers
from academia and industry. It covers topics such as Internet of
Things, information security, embedded systems, real-time systems,
cloud computing, big data analysis, quantum computing, automation
systems, bio-inspired intelligence, cognitive systems, cyber
physical systems, data analytics, data/web mining, data science,
intelligence for security, intelligent decision making systems,
intelligent information processing, intelligent transportation,
artificial intelligence for machine vision, imaging sensors
technology, image segmentation, convolutional neural network,
image/video classification, soft computing for machine vision,
pattern recognition, human-computer interaction, robotic devices
and systems, autonomous vehicles, intelligent control systems,
human motor control, game playing, evolutionary algorithms, swarm
optimization, neural network, deep learning, supervised learning,
unsupervised learning, fuzzy logic, rough sets, computational
optimization, and neuro-fuzzy systems.
This book covers different aspects of real-world applications of
optimization algorithms. It provides insights from the Sixth
International Conference on Harmony Search, Soft Computing and
Applications held at Istanbul University, Turkey, in July 2020.
Harmony Search (HS) is one of the most popular metaheuristic
algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof.
Zong Woo Geem, that mimics the improvisation process of jazz
musicians to seek the best harmony. The book consists of research
articles on novel and newly proposed optimization algorithms; the
theoretical study of nature-inspired optimization algorithms;
numerically established results of nature-inspired optimization
algorithms; and real-world applications of optimization algorithms
and synthetic benchmarking of optimization algorithms.
This book discusses various aspects of real-world applications of
optimization algorithms, presenting insights from the 5th
International Conference on Harmony Search, Soft Computing and
Applications, held at Kunming, China on July 20-22, 2019. The book
focuses on the recent advances in soft computing techniques such as
harmony search, PSO and DE and their application to solve
engineering problems. Presenting research on various real-world
engineering problems concerning crowd evacuation strategies,
adaptive learning systems, economic impact analysis, cyber-attack
detection, urban drainage systems, water management models, feature
selection and inventory systems, it is a valuable resource for
researchers wanting a state-of-the-art overview of the latest
advances in soft computing and related areas.
This book gathers selected high-quality research papers presented
at the International Conference on Paradigms of Communication,
Computing and Data Sciences (PCCDS 2021), held at the National
Institute of Technology, Kurukshetra, India, during May 07-09,
2021. It discusses high-quality and cutting-edge research in the
areas of advanced computing, communications, and data science
techniques. The book is a collection of latest research articles in
computation algorithm, communication, and data sciences,
intertwined with each other for efficiency.
This book gathers high-quality papers presented at
Academia-Industry Consortium for Data Science (AICDS 2020), held in
Wenzhou, China during 19 - 20 December 2020. The book presents
views of academicians and also how companies are approaching these
challenges organizationally. The topics covered in the book are
data science and analytics, natural language processing, predictive
analytics, artificial intelligence, machine learning, deep
learning, big data computing, cognitive computing, data
visualization, image processing, and optimization techniques.
This book introduces a variety of neural network methods for
solving differential equations arising in science and engineering.
The emphasis is placed on a deep understanding of the neural
network techniques, which has been presented in a mostly heuristic
and intuitive manner. This approach will enable the reader to
understand the working, efficiency and shortcomings of each neural
network technique for solving differential equations. The objective
of this book is to provide the reader with a sound understanding of
the foundations of neural networks and a comprehensive introduction
to neural network methods for solving differential equations
together with recent developments in the techniques and their
applications. The book comprises four major sections. Section I
consists of a brief overview of differential equations and the
relevant physical problems arising in science and engineering.
Section II illustrates the history of neural networks starting from
their beginnings in the 1940s through to the renewed interest of
the 1980s. A general introduction to neural networks and learning
technologies is presented in Section III. This section also
includes the description of the multilayer perceptron and its
learning methods. In Section IV, the different neural network
methods for solving differential equations are introduced,
including discussion of the most recent developments in the field.
Advanced students and researchers in mathematics, computer science
and various disciplines in science and engineering will find this
book a valuable reference source.
This book consists of papers on the recent progresses in the state
of the art in natural computation, fuzzy systems and knowledge
discovery. The book can be useful for researchers, including
professors, graduate students, as well as R & D staff in the
industry, with a general interest in natural computation, fuzzy
systems and knowledge discovery. The work printed in this book was
presented at the 2021 17th International Conference on Natural
Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021,
24-26 July 2021, Guiyang, China). All papers were rigorously
peer-reviewed by experts in the areas.
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