Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
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
6. Hybrid Computational Intelligence with Applications to BioMedical Image and HealthCare
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
10. Real-Time Video Segmentation using a Vague Adaptive Threshold
Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty
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.
- 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
Researchers, professionals, and graduate students in computer science & engineering and in electrical engineering
- No. of pages:
- © Academic Press 2020
- 5th March 2020
- Academic Press
- eBook ISBN:
- Paperback ISBN:
Dr. Bhattacharyya [FIEI (I), FIETE, LFOSI, SMIEEE, SMACM, SMIETI, MIET(UK)] is 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.
Professor, Department of Computer Science and Engineering, CHRIST University, Bangalore, India
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.
Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic
Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision. With 12 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing. He is an Assistant Professor at Maharaja Agrasen Institute of Technology, Delhi, India. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has served as Editor-in-Chief, Guest Editor, and Associate Editor in SCI and various other reputed journals (Elsevier, Springer, Wiley & MDPI). He is currently a Post-Doc researcher at University of Valladolid, Spain. He has authored/edited a number of books, including Advanced Computational Techniques for Virtual Reality in Healthcare and Handbook of Computer Networks and Cyber Security: Principles and Paradigms from Springer, He has published 101 scientific research publications in reputed International Journals and Conferences including 49 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He has also published one patent. He is Editor-in-Chief of Computers and Quantum Computing and Applications journal, Associate Editor of Expert Systems (Wiley), Intelligent Decision Technologies (IOS Press), Journal of Computational and Theoretical Nenoscience, and Honorary Editor of ICSES Transactions on Image Processing and Pattern Recognition. He is also a series editor of Intelligent Biomedical Data Analysis, De Gruyter (Germany).
Assistant Professor, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research & development. He received his Ph.D. degree from National Institute of Technology, Kurukshetra, India. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil. He has published around 40 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and many more reputed Journals with cumulative impact factor of above 100. He has around 90 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author/editor of numerous books, including Advanced Computational Techniques for Virtual Reality in Healthcare from Springer, Intelligent Data Analysis: From Data Gathering to Data Comprehension from Wiley, and Hybrid Computational Intelligence: Challenges and Applications from Elsevier. His research interests include Distributed Systems, MANET, FANET, VANET, IoT, and Machine Learning. He is one of the founders of Bhavya Publications and Universal Innovator Lab. Universal Innovator is actively involved in research, innovation, conferences, startup funding events and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India and is also a Visiting Professor at the University of Valladolid, Spain.
Professor, Maharaja Agrasen Institute of Technology, Delhi, India; Visiting Professor, University of Valladolid, Spain
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.