Mahmoud Al-Ayyoub, Ph.D.
Affiliations: | 2010 | Computer Science | Stony Brook University, Stony Brook, NY, United States |
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"Mahmoud Al-Ayyoub"Parents
Sign in to add mentorHimanshu S. Gupta | grad student | 2010 | SUNY Stony Brook | |
(Dynamic spectrum allocation in cellular networks.) |
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Publications
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Al-Bdour G, Al-Qurran R, Al-Ayyoub M, et al. (2020) Benchmarking open source deep learning frameworks International Journal of Electrical and Computer Engineering. 10: 5479-5486 |
AlZu'bi S, Shehab MA, Al-Ayyoub M, et al. (2020) Parallel implementation for 3D medical volume fuzzy segmentation Pattern Recognition Letters. 130: 312-318 |
Farhan W, Talafha B, Abuammar A, et al. (2020) Unsupervised dialectal neural machine translation Information Processing and Management. 57: 102181 |
Jararweh Y, Al-Ayyoub M, Al-Zoubi D, et al. (2020) An experimental framework for future smart cities using data fusion and software defined systems: The case of environmental monitoring for smart healthcare Future Generation Computer Systems. 107: 883-897 |
Alawneh L, Shehab MA, Al-Ayyoub M, et al. (2020) A scalable multiple pairwise protein sequence alignment acceleration using hybrid CPU–GPU approach Cluster Computing. 1-12 |
Al-Ayyoub M, Khamaiseh AA, Jararweh Y, et al. (2019) A comprehensive survey of arabic sentiment analysis Information Processing and Management. 56: 320-342 |
Al-Smadi M, Talafha B, Al-Ayyoub M, et al. (2019) Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews International Journal of Machine Learning and Cybernetics. 10: 2163-2175 |
Al-Ayyoub M, Alawneh E, Jararweh Y, et al. (2019) Collaboration networks of arab biomedical researchers Multimedia Tools and Applications. 78: 33435-33455 |
Jararweh Y, Al-Ayyoub M, Fakirah M, et al. (2019) Improving the performance of the needleman-wunsch algorithm using parallelization and vectorization techniques Multimedia Tools and Applications. 78: 3961-3977 |
Shatnawi A, AlZahouri Y, Shehab MA, et al. (2019) Toward a new approach for sorting extremely large data files in the big data era Cluster Computing. 22: 819-828 |