Recent Trends in Computational Intelligence Enabled Research

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  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Pages : 418 pages
  • ISBN : 0323851797
  • Rating : /5 from reviews
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Download or Read online Recent Trends in Computational Intelligence Enabled Research full in PDF, ePub and kindle. this book written by Siddhartha Bhattacharyya and published by Academic Press which was released on 31 July 2021 with total page 418 pages. We cannot guarantee that Recent Trends in Computational Intelligence Enabled Research book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Recent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research
  • Author : Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
  • Publisher : Academic Press
  • Release : 31 July 2021
GET THIS BOOK Recent Trends in Computational Intelligence Enabled Research

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With

New Trends in Computational Collective Intelligence

New Trends in Computational Collective Intelligence
  • Author : David Camacho,Sang-Wook Kim,Bogdan Trawiński
  • Publisher : Springer
  • Release : 10 September 2014
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This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge

Computational Intelligence Techniques for Combating COVID 19

Computational Intelligence Techniques for Combating COVID 19
  • Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
  • Publisher : Springer Nature
  • Release : 07 June 2023
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This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health,

Intelligent Cyber Physical Systems Security for Industry 4 0

Intelligent Cyber Physical Systems Security for Industry 4 0
  • Author : Jyoti Sekhar Banerjee,Siddhartha Bhattacharyya,Ahmed J Obaid,Wei-Chang Yeh
  • Publisher : CRC Press
  • Release : 16 December 2022
GET THIS BOOK Intelligent Cyber Physical Systems Security for Industry 4 0

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science. Features • Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the

Confluence of Artificial Intelligence and Robotic Process Automation

Confluence of Artificial Intelligence and Robotic Process Automation
  • Author : Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Debashis De
  • Publisher : Springer Nature
  • Release : 13 March 2023
GET THIS BOOK Confluence of Artificial Intelligence and Robotic Process Automation

This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate

Current Applications of Deep Learning in Cancer Diagnostics

Current Applications of Deep Learning in Cancer Diagnostics
  • Author : Jyotismita Chaki,Aysegul Ucar
  • Publisher : CRC Press
  • Release : 22 February 2023
GET THIS BOOK Current Applications of Deep Learning in Cancer Diagnostics

This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1
  • Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
  • Publisher : Academic Press
  • Release : 20 May 2021
GET THIS BOOK Data Science for COVID 19 Volume 1

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative

Applications of Machine intelligence in Engineering

Applications of Machine intelligence in Engineering
  • Author : Jyotsna Kumar Mandal,Sanjay Misra,Jyoti Sekhar Banerjee,Somen Nayak
  • Publisher : CRC Press
  • Release : 22 April 2022
GET THIS BOOK Applications of Machine intelligence in Engineering

The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains

Recent Trends in Computational Intelligence and Its Application

Recent Trends in Computational Intelligence and Its Application
  • Author : Sugumaran D,Souvik Pal,Dac-Nhuong Le,Noor Zaman Jhanjhi
  • Publisher : CRC Press
  • Release : 15 June 2023
GET THIS BOOK Recent Trends in Computational Intelligence and Its Application

The increase in computing power and sensor data has driven Information Technology on end devices, such as smart phones or automobiles. The widespread application of IT across the globe includes manufacturing, engineering, retail, e-commerce, health care, education, financial services, banking, space exploration, politics (to help predict the sentiments of voter demographics), etc. The papers in this conference proceeding examine and discuss various interdisciplinary researches that could accelerate the advent of Information Technology.

Managing and Implementing the Digital Transformation

Managing and Implementing the Digital Transformation
  • Author : Dominik T. Matt,Renato Vidoni,Erwin Rauch,Patrick Dallasega
  • Publisher : Springer Nature
  • Release : 13 August 2022
GET THIS BOOK Managing and Implementing the Digital Transformation

This book shows how companies can practically implement the advantages of Industry 4.0 and digitalization and also addresses the current challenges with regard to engineering education for Industry 4.0. In this book, we collect the contributions of the 1st Symposium on Industrial Engineering and Automation (ISIEA 2022), which took place from June 21–22, 2022 at the Free University of Bolzano. The contributions cover three basic areas: (1) best practice examples and technical solutions for the implementation of Industry 4.0 in production and logistics, (2) management-oriented approaches for the

Convergence of Deep Learning in Cyber IoT Systems and Security

Convergence of Deep Learning in Cyber IoT Systems and Security
  • Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan
  • Publisher : John Wiley & Sons
  • Release : 08 November 2022
GET THIS BOOK Convergence of Deep Learning in Cyber IoT Systems and Security

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in

Recent Trends in Intelligence Enabled Research

Recent Trends in Intelligence Enabled Research
  • Author : Siddhartha Bhattacharyya,Gautam Das,Sourav De,Leo Mrsic
  • Publisher : Springer
  • Release : 28 June 2023
GET THIS BOOK Recent Trends in Intelligence Enabled Research

This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas,

Computational Intelligence Techniques for Green Smart Cities

Computational Intelligence Techniques for Green Smart Cities
  • Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
  • Publisher : Springer Nature
  • Release : 22 April 2022
GET THIS BOOK Computational Intelligence Techniques for Green Smart Cities

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous

Computational Intelligence for Agent based Systems

Computational Intelligence for Agent based Systems
  • Author : Raymond S.T. Lee
  • Publisher : Springer Science & Business Media
  • Release : 24 July 2007
GET THIS BOOK Computational Intelligence for Agent based Systems

The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Intelligence. The editors present two basic paradigms: the emergence of computational intelligence as a mature and integrated science, and the power of the agent paradigm in realizing complex and distributed environments. This book explores these emerging areas inviting well-known authors whose expertise is widely recognized.

Computational Intelligence in Recent Communication Networks

Computational Intelligence in Recent Communication Networks
  • Author : Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah
  • Publisher : Springer Nature
  • Release : 21 February 2022
GET THIS BOOK Computational Intelligence in Recent Communication Networks

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity.