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Iyad Abu Doush
Researcher at American University of Kuwait
Publications - 105
Citations - 1463
Iyad Abu Doush is an academic researcher from American University of Kuwait. The author has contributed to research in topics: Computer science & Harmony search. The author has an hindex of 16, co-authored 85 publications receiving 819 citations. Previous affiliations of Iyad Abu Doush include Yarmouk University & New Mexico State University.
Papers
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Journal ArticleDOI
Coronavirus herd immunity optimizer (CHIO).
Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Zaid Abdi Alkareem Alyasseri,Zaid Abdi Alkareem Alyasseri,Mohammed A. Awadallah,Iyad Abu Doush,Iyad Abu Doush +6 more
TL;DR: CHIO is a very powerful optimization algorithm that can be used to tackle many optimization problems across a wide variety of optimization domains.
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Novel selection schemes for harmony search
Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Iyad Abu Doush,Ahamad Tajudin Khader,Mohammed A. Awadallah +4 more
TL;DR: Novel selection schemes which replace the random selection scheme in memory consideration are investigated, comprising global-best, fitness-proportional, tournament, linear rank and exponential rank and a parameter sensitivity analysis of the proposed HS variations is analyzed.
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Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.
Zaid Abdi Alkareem Alyasseri,Zaid Abdi Alkareem Alyasseri,Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Iyad Abu Doush,Iyad Abu Doush,Mohammed A. Awadallah,Mohammed A. Awadallah,Ammar Kamal Abasi,Ammar Kamal Abasi,Sharif Naser Makhadmeh,Sharif Naser Makhadmeh,Osama Ahmad Alomari,Karrar Hameed Abdulkareem,Afzan Adam,Robertas Damasevicius,Mazin Abed Mohammed,Raed Abu Zitar +17 more
TL;DR: A comprehensive review of the most recent DL and ML techniques for COVID-19 diagnosis is provided in this article, which includes more than 200 studies that have been carefully selected from several publishers, such as IEEE, Springer and Elsevier.
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Osama Ahmad Alomari,Sharif Naser Makhadmeh,Sharif Naser Makhadmeh,Sharif Naser Makhadmeh,Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Zaid Abdi Alkareem Alyasseri,Zaid Abdi Alkareem Alyasseri,Iyad Abu Doush,Iyad Abu Doush,Ammar Kamal Abasi,Ammar Kamal Abasi,Mohammed A. Awadallah,Mohammed A. Awadallah,Raed Abu Zitar +14 more
TL;DR: A new hybrid filter-wrapper approach using robust Minimum Redundancy Maximum Relevancy (rMRMR) as a filter approach to choose the top-ranked genes and it achieves the best results in four out of nine datasets and it obtains remarkable results on the remaining datasets.
Journal ArticleDOI
Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms
Iyad Abu Doush,Sahar AL-Btoush +1 more
TL;DR: This is the first attempt, to the best of the authors knowledge, to recognize both coins and paper banknotes on a smartphone using SIFT algorithm, which has been developed to be the most robust and efficient local invariant feature descriptor.