Guest Editors
Dr. Prateek Agrawal, Lovely Professional University, India.
Dr. Charu Gupta, Bhagwan Parshuram Institute of Technology, GGS-Indraprastha University, India.
Dr. Deepali Virmani, Bhagwan Parshuram Institute of Technology, GGS-Indraprastha University, India.
Prof. Vishu Madaan, Lovely professional University, India.
Summary
In today's era, emerging technology uses the intelligence to perform specialized tasks from the observation it makes from the environment. The task requires intelligence of machines to reach new heights of technical and conceptual advancement Further, this advancement is incomplete without exploring the concepts and advances of Computational Intelligence (CI). Intelligence in computational systems has given rise to emerging technologies which are used for better living.
CI is an essential factor in Intelligence 4.0 which includes approaches and methods. It consists of theories, theorems, proofs, axioms, applications and comparisons of computationally motivated paradigms. It provides computational solutions to multi-domain problems and applications which deal with the datasets ranging from database to exascale, homogeneity to heterogeneity, variety to veracity.
CI gives the tools and techniques for re-living exploratory perceptions covering the complete spectrum of application and development of methods used in various expert systems. In today's era, when Exabytes of data is being generated on a daily basis, there is a great need of some intelligent methods and tools that would be robust and compatible to analyse and extract the meaningful information from them and help the users in making some fruitful and quick decisions.
The benefit of using CI tools and techniques is the elevation of real dynamic problems to automation which not only increases productivity, enhances the social and living structure of the society and people at large.
In view of these factors CI, its concepts, applications and meta-heuristics find great applications in solving real life problems. The aim of this issue is to record and disseminate the contributions from researchers, academicians and industry experts in the CI domain. The future of CI can further be extended to nature inspired computational intelligent tools and techniques for finding efficient solutions to real time problems with much ease and understanding.
Scope of the proposed special issue is as follows (not limited to):
Artificial Intelligence-based Emerging technologies
Intelligent healthcare applications
Machine learning models
Deep learning applications
Natural language processing
Soft Computing applications
Industry 4.0
Disruptive Technologies
Privacy challenges in Social networks
Social Network and Data Analytics
Recommender systems Applications in Social Networks
AI applications in smart cities
Internet of everything
Intelligent sustainable development
Explainable AI
Decentralized blockchain methods
Trust based communication
Expert systems
Keywords
Machine learning, deep learning, image processing, soft computing, internet of things, natural language processing
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