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Hybrid Computational Intelligence

Challenges and Applications

  • 1st Edition - March 5, 2020
  • Latest edition
  • Editors: Siddhartha Bhattacharyya, Vaclav Snasel, Deepak Gupta, Ashish Khanna
  • Language: English

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings to… Read more

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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 electrical engineering

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

Product details

  • Edition: 1
  • Latest edition
  • Published: March 5, 2020
  • Language: English

About the editors

SB

Siddhartha Bhattacharyya

Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit.
Affiliations and expertise
VSB Technical University of Ostrava, Czech Republic

VS

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

DG

Deepak Gupta

Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.

Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

AK

Ashish Khanna

Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.

Affiliations and expertise
Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), New Delhi, India

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