Hybrid Computational Intelligence - 1st Edition - ISBN: 9780128186992

Hybrid Computational Intelligence

1st Edition

Challenges and Applications

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Editors: Siddhartha Bhattacharyya Václav Snášel Deepak Gupta Ashish Khanna
Paperback ISBN: 9780128186992
Imprint: Academic Press
Published Date: 1st April 2020
Page Count: 250
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Table of Contents

1. Application and Techniques of Opinion Mining
Gupta, Neha, Agrawal, Rashmi
2. Influence of Big Data in Smart Tourism
R, Hanumantha Raju, Sunagar Pramod C., G M Siddesh, Kanavalli Anita, Srinivasa K G
3. Deep learning and its applications for Content-Based Video Retrieval
Hiriyannaiah Srinidhi, Singh Kaushik, H Ashwin, G M Siddesh, Srinivasa K G
4. A Computationally Intelligent agent for detecting fake news using Generative Adversarial networks (GANs)
Hiriyannaiah Srinidhi, Srinivas A.M.D., Shetty Gagan K., G M Siddesh, Srinivasa K G
5. Detection of Primary Glaucoma using ANN with the help of Back Propagation algo in Bio-medical Image Processing
Manjunath T.C.
6. Hybrid Computational Intelligence with Applications to BioMedical Image and HealthCare
Manikandan R.
7. Application of Hybrid Computational Intelligence in Healthcare
Sharma Moolchand, Agrawal Suyash, Deshwal Suman
8. Utility System for premature plant disease detection using machine learning
B J Sowmya, Shetty Chetan, S Seema, Srinivasa K G
9. Artificial Intelligence-Based Computational Fluid Dynamics (CFD) Approaches
Panwar Viswanth
10. Real-Time Video Segmentation using a Vague Adaptive Threshold
Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty


Description

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development.

Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Key Features

  • Provides insights into the latest research trends in hybrid intelligent algorithms and architectures
  • Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction
  • Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Readership

Researchers, professionals, and graduate students in computer science & engineering and in electrical engineering


Details

No. of pages:
250
Language:
English
Copyright:
© Academic Press 2020
Published:
1st April 2020
Imprint:
Academic Press
Paperback ISBN:
9780128186992

Ratings and Reviews


About the Editors

Siddhartha Bhattacharyya Editor

Siddhartha Bhattacharyya [FIEI (I), FIETE, LFOSI, SMIEEE, SMACM, SMIETI, MIET(UK)] is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. With over 20 years of experience in academics, he has authored/edited more than 50 books and more than 250 research publications in international journals and conference proceedings. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.

Affiliations and Expertise

CHRIST University, Bangalore, India

Václav Snášel Editor

Václav Snášel's research and development experience includes over 30 years in Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, bioinformatics, information retrieval, knowledge management, data compression, machine intelligence, neural network, nature and biologically inspired computing, data mining, and applied to various real-world problems. Studied numerical mathematics at Palacky University in Olomouc, Ph.D. degree obtained at Masaryk University in Brno, he teaches as a professor at VSB – Technical University of Ostrava. From 2001 to 2009 he worked as a researcher at The Institute of Computer Science of Academy of Sciences of the Czech Republic. Since 2009, he has worked as the head of the research program, Knowledge Management, at IT4Innovation National Supercomputing Center, and since 2010, he has been the Dean of the Faculty of Electrical Engineering and Computer Science at VSB – Technical University of Ostrava. Prof. Snášel has authored/co-authored several refereed journal/conference papers and book chapters. He has published more than 500 papers (340 papers are indexed at Web of Science, 560 indexed at Web of Science at Scopus). He has also supervised many PhD students from the Czech Republic, Jordan, Yemen, Slovakia, Ukraine, Russia, India, China, Libya and Vietnam. He also supervised postdoc students from the Slovak Republic, Uruguay and Egypt. Besides serving as the Editor-in-Chief of two journals, Engineering Applications of Artificial Intelligence and Neural Network World, he is actively involved in the International Conference on Computational Aspects of Social Networks (CASoN); Computer Information Systems and Industrial Management (CISIM); and Evolutionary Techniques in Data Processing (ETID) series of International conferences. He is a Member of IEEE (USA), ACM (USA), AMS (USA), SIAM (USA).

Affiliations and Expertise

VSB - Technical University of Ostrava, Czech Republic

Deepak Gupta Editor

Dr. Deepak Gupta is an academician and researcher with twelve years of teaching experience and two years in industry. PhD (CSE) from Dr. APJ Abdul Kalam Technical University (AKTU), M. E. (CTA) from Delhi College of Engineering (Now DTU), B.Tech. (IT) from GGSIP University, and GATE qualified. He was a postdoc research fellow (PDF) in Internet of Things research Lab at Inatel, Brazil. He is currently at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, GGSIP University, Delhi, India. He has co-authored/edited 31 books with National/International level publishers (Elsevier, Springer, Wiley, Katson). He has published 35 scientific research publications in reputed International Journals and Conferences including 12 SCI Indexed Journals of IEEE, Elsevier, Springer and Wiley. He has been guest editor of 8 special issues including SCI indexed journals, ASoC and CAEE, etc. Invited as a Faculty Resource Person/Session Chair/Reviewer/TPC member in different FDP, conferences and journals. His research area includes human-computer interaction, intelligent data analysis, nature-inspired computing, machine learning, and soft computing.

Affiliations and Expertise

Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India

Ashish Khanna Editor

Dr Ashish Khanna has 15 years of rich expertise in teaching, entrepreneurship, and research & development with specialization in Computer Science Engineering. He received his PhD from the National Institute of Technology, Kurukshetra. He has published many research papers in reputed journals and conferences. He is a co-author in 10 textbooks of various engineering courses. He is co-editor of an ICICC-2018 Springer LNNS book. He was the guest editor of the Springer Conference at ICDMAI-2018 and managed a special session on “Computational Intelligence for Data Science.” He has co-authored 10 textbooks and edited books in the fields of Distributed Systems, Java Programming and Website Development, Java Programming, Computer Graphics, Computer Graphics and Multimedia, Computer Networks, Computer Networks and Data Communication Networks, Success Mantra for IT interviews, and Fundamental of Computing. His research areas include Distributed Computing, Distributed Systems, Cloud Computing, Vehicular Ad hoc Networks and opportunistic networks. He has also started a research unit under the banner of “Universal Innovator”.

Affiliations and Expertise

Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India