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IJCAT-SI 2019 : Special Issue on Theoretical Advances and Applications of Computational Intelligence
IJCAT-SI 2019 : Special Issue on Theoretical Advances and Applications of Computational Intelligence

IJCAT-SI 2019 : Special Issue on Theoretical Advances and Applications of Computational Intelligence

N/A
Event Date: January 01, 1970 - January 01, 1970
Submission Deadline: July 31, 2019
Notification of Acceptance: September 30, 2019
Camera Ready Version Due: October 30, 2019




Call for Papers

International Journal of Computer Applications in Technology
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Special Issue on: "Theoretical Advances and Applications of Computational Intelligence"

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Guest Editors:
Prof. Ahmad Taher Azar, Benha University, Egypt
Prof. Sundarapandian Vaidyanathan, Vel Tech University, India
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Computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. The principal constituents of CI are fuzzy logic (FL), evolutionary computation (EC), machine learning (ML) and probabilistic reasoning (PR), etc.

The development of computational intelligence systems was inspired by observable and imitable aspects of intelligent activity in human beings and nature. The essence of systems based on computational intelligence is to process and interpret data of various natures so that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Without them, the development of this field would be almost impossible, and its application practically marginal. That is why these techniques have developed
particularly in recent years. Developed theories of computational intelligence have been quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in image and sound processing and identification, signal processing, multidimensional data visualisation, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems, and many other practical implementations.

This special issue aims at presenting the latest developments, trends, research solutions and applications of computational intelligence to modelling and engineering problems with effective use of fuzzy logic control, neural
networks and biology-inspired optimisation techniques, etc.

We invite researchers to contribute original research articles as well as review articles that will stimulate continuing efforts to improve the current state of the art in the aforementioned fields.
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Subject Coverage
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Suitable topics include, but are not limited, to the following:
• Ant colony optimisation (ACO)
• Bayesian networks
• Bee colony optimisation (BCO)
• Chaos theory
• Computational intelligence (CI)
• Evolutionary computing
• Fuzzy logic control (FLC)
• Deep learning
• Genetic algorithms (GA)
• Intelligent control
• Machine learning
• Meta-heuristic and swarm intelligence
• Nature-inspired optimisation methods
• Particle swarm optimisation (PSO)
• Support vector machines
• Biomedical applications
• Computer vision and image processing
• Robotics

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Notes for Prospective Authors
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Submitted papers should not have been previously published nor be currently under consideration for publication
elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if
appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.

If you have any queries concerning this special issue, please email the Guest Editors:
Prof. Ahmad Taher Azar: [email protected], [email protected]
Prof. Sundarapandian Vaidyanathan: [email protected]

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Important Dates
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Manuscripts due by: 31 July, 2019
Notification to authors: 30 September, 2019
Final versions due by: 31 October, 2019



Credits and Sources

[1] IJCAT-SI 2019 : Special Issue on Theoretical Advances and Applications of Computational Intelligence


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