Intelligence Enabled Research

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9811904898
Total Pages : 187 pages
Book Rating : 4.99/5 ( download)

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Download or read book Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2022-03-29 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). 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, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Author : Siddhartha Bhattacharyya
Publisher :
ISBN 13 : 9789819914739
Total Pages : 0 pages
Book Rating : 4.36/5 ( download)

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Download or read book Recent Trends in Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9819914728
Total Pages : 298 pages
Book Rating : 4.22/5 ( download)

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Download or read book Recent Trends in Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2023-06-22 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.94/5 ( download)

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Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9819723213
Total Pages : 223 pages
Book Rating : 4.18/5 ( download)

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Download or read book Recent Trends in Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 981159290X
Total Pages : 134 pages
Book Rating : 4.04/5 ( download)

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Download or read book Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2020-12-12 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). 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, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Author : Huansheng Ning
Publisher : Taylor & Francis
ISBN 13 : 0429591675
Total Pages : 335 pages
Book Rating : 4.79/5 ( download)

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Download or read book Cyber-Enabled Intelligence written by Huansheng Ning and published by Taylor & Francis. This book was released on 2019-08-08 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an advanced vision and trends of computational intelligence in cyberspace and cyber-enabled spaces. It reviews architectures and models, as well as state-of-the-art computational and interpretation capabilities for social, industrial, and multimedia applications. Cyber-enabled intelligence involves the design and development of intelligent and innovative application scenarios in social networks, computer vision, multimedia, and image processing. Application scenarios can also cover the applicability of intelligent sensing, data collection and predictive analysis in Internet of Things.

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9811520216
Total Pages : 131 pages
Book Rating : 4.11/5 ( download)

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Download or read book Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2020-01-04 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). 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, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies.

Author : Andries P. Engelbrecht
Publisher : John Wiley & Sons
ISBN 13 : 9780470512500
Total Pages : 628 pages
Book Rating : 4.04/5 ( download)

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Download or read book Computational Intelligence written by Andries P. Engelbrecht and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Author : Rajesh Kumar Tripathy
Publisher : CRC Press
ISBN 13 : 1040028772
Total Pages : 227 pages
Book Rating : 4.73/5 ( download)

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Download or read book Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing written by Rajesh Kumar Tripathy and published by CRC Press. This book was released on 2024-06-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.