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Special Issue of International Conference on Electronics, Control, Optimization and Computer Science ICECOCS’20
Aims and scope:
Achieving a better solution or improving the performance of existing system is an ongoing process for which scientists, engineers and researchers have been determined for many years. In process industry, design and operation planning functions are particularly complex and a wide range of optimization methodologies are used to minimize risks and improve quality in making decisions which are becoming even harder in the era of Big Data.
More, a large amount of this data comes from different devices connected in billions to constitute the Internet of Things and it is required to provide solutions for various network related problems. Indeed, the availability of large amount of information is leading toward the definition of new optimization problems.
In the other hand, the interplay between optimization and machine learning is one of the most important developments in modern computational science. In fact, with the growth of new technologies and models in machine learning, researchers in this field have to continuously face with new challenges. In this context, Optimization methods represent key factors in designing algorithms to extract essential knowledge from huge volumes of data.
The aim of this special issue is to provide a remarkable opportunity for the scholars, researchers, academicians and industry communities in the fields of optimization and its applications in electronics and computer science to address new challenges, share experiences and discuss future research directions. This special issue is opening for submissions, including extended high-quality papers presented at IEEE International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS’20), held in Kenitra, Morocco, December 2nd-3rd, 2020.
Topics of interest:
Topics include various areas of optimization and its applications which include but are not limited:
Optimization and its applications in engineering sciences
Optimal control : Theory and Application
Stochastic and Probability optimization
Optimization and Decision Making
Learning and intelligent optimization
Optimization in Data and Signal Processing
Optimization in IoT and Embedded Systems
Networking and Communications : Network and combinatorial optimization
Big Data Optimization
Submission Guidelines for the SI
Submissions should be prepared for publication according to the journal submission.The submitted papers must have at least 30% different material beyond any other previously published work. Submissions must be original and must not be under consideration in any other venue. Authors must indicate the name and date of the previously published conference and indicate very briefly how the new submission offers new contributions. All Papers will be subjected to a rigorous review process following the reviewing rules of the journal. Requests for additional information should be addressed to corresponding guest editors.
Submission deadline: March 31, 2021
Initial notification: May 31, 2021
Submission deadline for revised papers: Jun 30, 2021
Final acceptance/rejection notification: July 31, 2021
Publication: As per the policy of journal
Dr. Salma Azzouzi, Ibn Tofail University, Morocco
Dr. Saoussen Cheikhrouhou, University of Sfax, Tunisia
Dr. Abdessalam Ait Madi, Ibn Tofail University, Morocco
Dr. Mohammed Talibi Alaoui, Sidi Mohamed Ben Abdellah University, Morocco
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