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. 
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. Optimization in the sensor cloud: Taxonomy, challenges, and survey 2. Computational intelligence techniques for localization and clustering in wireless sensor 3. Computational intelligent techniques for resource management schemes in wireless sensor networks 4. Swarm intelligence based MSMOPSO for optimization of resource provisioning in Internet of Things 5. DNA-based authentication to access internet of things-based healthcare data 6. Computational intelligence techniques for cancer diagnosis 7. Security and privacy in the internet of things: computational intelligent techniques-based approaches 8. Automatic enhancement of coronary arteries using convolutional gray-level templates and path-based metaheuristics 9. Smart city development: Theft handling of public vehicles using image analysis and cloud network 10. Novel detection of cancerous cells through an image segmentation approach using principal component analysis 11. Classification of the operating spectrum for the RAMAN amplifier embedded optical communication system using soft computing techniques 12. Random walk elephant swarm water search algorithm for identifying order-preserving submatrices in gene expression data: a new approach using elephant swarm water search algorithm 13. Geopositioning of fog nodes based on user device location and framework for game theoretic applications in an fog to cloud network 14. A wavelet-based low frequency prior for single-image dehazing 15. Segmentation of retinal blood vessel structure based on statistical distribution of the area of isolated objects 16. Energy-efficient rendezvous point-based routing in wireless sensor network with mobile sink 17. An integration of handcrafted features for violent event detection in videos 18. Deep learning-based diabetic retinopathy detection for multiclass imbalanced data 19. Internet of Things e-health revolution: secured transmission of homeopathic e-medicines through chaotic key formation 20. Smart farming and water saving-based intelligent irrigation system implementation using the Internet of Things 21. Intelligent and smart enabling technologies in advanced applications: recent trends 22. Leveraging technology for healthcare and retaining access to personal health data to enhance personal health and well-being 23. Enhancement of foveolar architectural changes in gastric endoscopic biopsies
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Advanced research in computational intelligence and deep learning mechanisms and applications
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
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Produktdetaljer

ISBN
9780128228449
Publisert
2021-08-05
Utgiver
Vendor
Academic Press Inc
Vekt
450 gr
Høyde
276 mm
Bredde
216 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
418

Biographical note

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. Dr. Paramartha Dutta did his Bachelors and Masters in Statistics from the Indian Statistical Institute, Calcutta in the years 1988 and 1990 respectively. He afterwards completed his Master of Technology in Computer science from the same Institute in the year 1993 and Doctor of Philosophy in Engineering from the Bengal Engineering and Science University, Shibpur in 2005 respectively. He has served in the capacity of research personnel in various projects funded by Govt. of India, which include DRDO, CSIR, Indian Statistical Institute, Calcutta etc. Dr. Dutta is now a Professor in the Department of Computer and system Sciences of the Visva Bharati University, West Bengal, India. Prior to this, he served Kalyani Government Engineering College and College of Engineering in West Bengal as full time faculty members. He has coauthored four books and has also one edited book to his credit. He has publishedabout hundred fifty papers in various journals and conference proceedings, both international and national. Presently, he is supervising four students for their Ph. D program registered with Visva Bharati University and West Bengal University of Technology. Dr. Dutta is a Life Fellow of the Optical Society of India (OSI), Computer Society of India (CSI), Indian Science Congress Association (ISCA), Indian Society for Technical Education (ISTE), Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI) - the Indian affiliate of the International Association for Pattern Recognition (IAPR), Senior Member of Associated Computing Machinery (ACM), IEEE Computer Society, USA and IACSIT. Debabrata Samanta is an Assistant Professor & Program Head, at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research and development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He owns 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyrights. He has authored or co-authored over 224 research papers; he has co-authored 13 books and co-edited 13 books. He has presented various papers at international conferences and received Best Paper awards. He is an IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE). Dr. Anirban Mukherjee did his Bachelors in Civil Engineering in 1994 from Jadavpur University, Kolkata. While in service he achieved a professional Diploma in Operations Management (PGDOM) in 1998 and completed his PhD on ‘Automatic Diagram Drawing based on Natural Language Text Understanding’ from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur in 2014. Serving RCC Institute of Information Technology (RCCIIT), Kolkata since inception (in 1999), he is currently an Associate Professor and Head of the Department of Engineering Science & Management at RCCIIT. Before joining RCCIIT he served as an Engineer in the Scientific & Technical Application Group in erstwhile RCC, Calcutta for 6 years. His research interest includes Computer Graphics, Computational Intelligence, Optimization and Assistive Technology. He has co-authored two UG engineering textbooks: one on ‘Computer Graphics and Multimedia’ and another on ‘Engineering Mechanics’. He has also co-authored more than 18 books on Computer Graphics/Multimedia for distance learning courses BBA/MBA/BCA/MCA/B.Sc (Comp. Sc.)/M.Sc (IT) of different Universities of India. He has international journal, book chapters and conference papers to his credit. He is on the editorial board of the International Journal of Ambient Computing and Intelligence (IJACI). Dr. Indrajit Pan, Associate Professor, Department of Information Technology, RCC Institute of Information Technology, Kolkata, India