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International Computer Science and Engineering Society (ICSES) |
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ICSES Transactions on Neural and Fuzzy Computing
Vol. 1, No. 1, Apr. 2018  Mission and Vision of ICSES Transactions on Neural and Fuzzy Computing (ITNFC) | Miscellaneous
Hamid Reza Boveiri a,
 , Ganeshsree Selvachandran ba Sama College, IAU, Shoushtar Branch, Shoushtar, Iran b UCSI University, Cheras, Malaysia 
 Life Member
Highlights and Novelties
2- To welcome the community of data scientists and engineers. 3- To persuade the prospective Authors to submit their best works to the ITNFC. Manuscript Abstract
This Editorial article is devoted to better introduce the Mission and Vision of the ICSES Transactions on Neural and Fuzzy Computing (ITNFC) to the community of fuzzy scientists and engineers. Actually, ICSES Transactions on Neural and Fuzzy Computing (ITNFC) is a peer-reviewed open-access publication of its kind that aims at reporting the most recent research and developments in the areas of Neural Networks, as well as Fuzzy Sets and Systems. It publishes advanced, innovative and multidisciplinary research involving the theoretical, experimental and practical aspects of these interrelated paradigms and their hybridizations. ICSES Transactions on Neural and Fuzzy Computing (ITNFC) is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state of the art of all aspects of Neural Networks, and Fuzzy Sets and Systems and their hybridation. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications. Keywords
Editorial International Computer Science and Engineering Society (ICSES) ICSES Transactions on Neural and Fuzzy Computing (ITNFC) Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. Cite this manuscript as
Hamid Reza Boveiri, Ganeshsree Selvachandran, "Mission and Vision of ICSES Transactions on Neural and Fuzzy Computing (ITNFC)," ICSES Transactions on Neural and Fuzzy Computing (ITNFC), vol. 1, no. 1, pp. 1-3, Apr. 2018. For External Scientific Databeses
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Corresponding Author
Affiliation: Sama College, IAU, Shoushtar Branch, Shoushtar, Iran
Tel: +989163073004
E-mail: 
Webpage: 
Biography: Hamid Reza Boveiri received his A.Sc. degree from Shahid Chamran University of Ahvaz, Ahvaz, Iran, in 2002, B.Sc. degree from Birjand University, Birjand, Iran, in 2005, M.Sc. degree from IAU, Science and Research Branch, Ahvaz, Iran, in 2009, all in Software Engineering, and Ph.D. in Shiraz University of Technology, Shiraz, Iran, in Information Technology (IT), on Image-guided Intervention Using Deep Neural Networks. He is a tenured faculty member of Computer Engineering Department at Sama College, IAU, Shoushtar Branch, Shoushtar, Iran. He had been serving as the Dean of IAU, Gotvand Branch, Iran, from 2014 up to 2016. He was also a member of Young Researchers & Elites Club of IAU, Shoushtar Branch, where he was the Head Advisor of “Research Workgroup” during 2010-2012. He is the Editor and Reviewer for many prestigious journals of Elsevier, Springer, Taylor & Francis, and Wiley publications, and evolved in holding a number of events as a member of executive or technical committee situated him at the top 99th percentile of reviewers in computer science based on Publons. He has already published a large number of research articles, surveys and technical reports in the reputed national and international conferences and journals. His research interests include Scheduling & Optimization, Machine Learning & Meta-heuristics, Medical Image Processing and Pattern Recognition. He is the founder of ICSES (International Computer Science and Engineering Society), and a member of ISI (Information Society of Iran) and IEEE.
No. of Downloads: 437
No. of Visits: 1710
Manuscript ID: 115
Pages: 1-3
Submitted: 2018-03-27
Accepted: 2018-03-29
Published: 2018-04-30
ISSN: 2717-0055 Frequency: Quarterly Accessability: Online - Open Access
Founded in: Feb. 2018 Publisher: ICSES
DOI Suffix: 10.31424/icses.itnfc
