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Hybrid Computational Intelligence - 1st Edition - ISBN: 9780128186992, 9780128187005

Hybrid Computational Intelligence

1st Edition

Challenges and Applications

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Editors: Siddhartha Bhattacharyya Vaclav Snasel Deepak Gupta Ashish Khanna
Paperback ISBN: 9780128186992
eBook ISBN: 9780128187005
Imprint: Academic Press
Published Date: 6th March 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:
6th March 2020
Imprint:
Academic Press
Paperback ISBN:
9780128186992
eBook ISBN:
9780128187005

Ratings and Reviews


About the Editors

Siddhartha Bhattacharyya

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

Vaclav Snasel

Vaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applications to various real-world problems. He has authored/co-authored several refereed journal/conference papers and book chapters. In 2003 he became a visiting scientist in the Institute of Computer Science, Academy of Sciences of the Czech Republic. Since 2003 he has been vice-dean for Research and Science at Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic. He has been a full professor since 2006. Before turning into a full time academic, he was working with industrial companies where he was involved in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Algebra and Geometry from Masaryk University, Brno, Czech Republic and a Master of Science degree from Palacky University, Olomouc, Czech Republic.

Affiliations and Expertise

Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic

Deepak Gupta

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

Dr. Ashish Khanna is an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India. He obtained his PhD from National Institute of Technology, Kurukshetra, India. His research focus includes Distributed Computing, Distributed Systems, Cloud Computing, Vehicular Ad hoc Networks and opportunistic networks.

Affiliations and Expertise

Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, India