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The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and te… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
Researchers, professionals, and graduate students in computer science & engineering, bioinformatics, and electrical engineering
1. 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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about 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.
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