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Session Chair
Ahmad Taher Azar, PhD
Faculty of Engineering,
Assistant Professor, Misr University for Science & Technology (MUST), 6th of
October City, Egypt.
Scientific Research Group in Egypt (SRGE)
Email: ahmad_T_azar@ieee.org
Session Co-Chair
Mohamed Mustafa Hassan, PhD
Professor, Elec. Power & Machines Dept. Cairo University, Giza, Egypt
Email: mmustafa_98@hotmail.com
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Abstract
The aim of this
special session is to present the state-of-the-art results in the area of
Computational
intelligence.
Computational
intelligence (CI) is an offshoot of artificial intelligence. As an alternative
to classical artificial intelligence it rather relies on heuristic algorithms
such as in fuzzy systems, neural networks and evolutionary computation. In
addition, computational intelligence also embraces techniques that use Swarm
intelligence, Fractals and Chaos Theory, Artificial immune systems, Wavelets,
etc. Computational intelligence combines elements of learning, adaptation,
evolution and Fuzzy logic (fuzzy sets) to create programs that are, in some
sense, intelligent. Computational intelligence research does not reject
statistical methods, but often gives a complementary view (as is the case with
fuzzy systems). Artificial neural networks is a branch of computational
intelligence that is closely related to machine learning. Computational
intelligence is further closely associated with soft computing, connectionist
systems and cybernetics. On the other hand, accuracy and uncertainty issues as
well as suited data acquisition systems must be carefully considered in these
applications since the quality of the solution greatly relies on them.
This special
session aims to provide an opportunity for international researchers to share
and review recent advances in the foundations, integration architectures and
applications of Computational intelligence.
Subject Coverage
(not
limited to)
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Artificial neural networks
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Fuzzy logic
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Neuro-fuzzy approaches
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Neural and fuzzy signal/image processing for
industrial and environmental applications
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Accuracy and precision of neural and fuzzy
components
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Intelligent monitoring and control systems
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Evolutionary monitoring and control
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Soft-computing technologies for robotics and
vision
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Soft computing technologies for medical and
bioengineering applications
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Application of
soft computing techniques to clinical decision making
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Hybrid systems
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Biomedical
modeling
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Biomedical imaging, Pattern Recognition and Visualization
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Bioinformatics
and computational biology
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Computer-aided
Surgery
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Healthcare information systems
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Medical Robotics
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Computer-based
systems for diagnosing diseases
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Biomechanics
and Artificial organs
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Hardware implementation of neural and fuzzy
systems for measurements
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Neural, fuzzy and genetic/evolutionary
algorithms for system optimization and calibration
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Reliability of fuzzy and neural components
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Computational Intelligence in ubiquitous
applications
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The "Big Data" streams and Computational
Intelligence
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Computational Intelligence for cloud
computing applications
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Computational Intelligence in Wireless
Sensor Networks
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