Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Rizik M. H. Al-Sayyed"'
Autor:
Saher Manaseer, Ahmad K. Al Hwaitat, Imad Salah, Rizik M. H. Al-Sayyed, Sarah E. Shukri, Hamed S. Al-Bdour
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 34:749-780
PSO is a remarkable tool for solving several optimisation problems, like global optimisation and many real-life problems. It generally explores global optimal solution via exploiting the particle –...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d7c72c7ae97d77aab449e97929d0374
https://doi.org/10.1080/0952813x.2021.1924870
https://doi.org/10.1080/0952813x.2021.1924870
Publikováno v:
IEEE Access, Vol 9, Pp 149176-149195 (2021)
In recent years, Wireless Sensor Networks (WSNs) have benefitted from their integration with Internet of Things (IoT) applications. WSN usage for monitoring and tracing applications shows massive acceleration, whether indoors or outdoors. WSN is cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78da4f85e679a718acec2c581e8a07dc
https://doi.org/10.1109/access.2021.3122526
https://doi.org/10.1109/access.2021.3122526
Autor:
Rizik M. H. Al-Sayyed, Mohammad Hashem Ryalat, Dheeb Albashish, Azizi Abdullah, Nedaa Ahmad Almansour
Publikováno v:
ICIT
Deep learning (DL) technologies are becoming a buzzword these days, especially for breast histopathology image tasks, such as diagnosing, due to the high performance obtained in image classification. Among deep learning types, Convolutional Neural Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5739328ac38b1d4f818f2f7cee3e53
https://doi.org/10.1109/icit52682.2021.9491631
https://doi.org/10.1109/icit52682.2021.9491631
Publikováno v:
The Journal of Supercomputing. 75:7994-8011
Nowadays, cloud computing became a very important way of processing very large and complicated jobs and services. To serve millions of users with a high satisfaction regarding cost and time requires a powerful way to schedule cloud users’ jobs. Job
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83cdc377f7c02c1461f990d700d87533
https://doi.org/10.1007/s11227-019-02936-0
https://doi.org/10.1007/s11227-019-02936-0
Autor:
Rizik M. H. Al-Sayyed, Anwar M. Bashiti, Nadim Obeid, Ibrahim Aljarah, Wadi' Hijawi, Omar Y. A. Al-Adwan
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET), Vol 14, Iss 10, Pp 217-241 (2019)
Cloud computing is one of the paradigms that have undertaken to deliver the utility computing concept. It views computing as a utility similar to water and electricity. We aim in this paper to make an investigation of two highly efficacious Cloud pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60183dfa3387624def3ee4cc6e180964
https://online-journals.org/index.php/i-jet/article/view/9902
https://online-journals.org/index.php/i-jet/article/view/9902
Autor:
Ala' M. Al-Zoubi, Rizik M. H. Al-Sayyed, Dana Al Qudah, Bashar Al-Shboul, Alexandra I. Cristea
Publikováno v:
Heliyon, 2020, Vol.6(7), pp.e04378 [Peer Reviewed Journal]
Heliyon
Heliyon, Vol 6, Iss 7, Pp e04378-(2020)
Heliyon
Heliyon, Vol 6, Iss 7, Pp e04378-(2020)
Social media platforms changed from being socialization platforms to serve businesses through advertisements. This research aims at investigating active young users' experience with social media ads by studying the personalization and the usefulness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::844200fb9567cbd6d18dab5e8be2ec8e
http://dro.dur.ac.uk/31310/
http://dro.dur.ac.uk/31310/
Publikováno v:
Computers in Biology and Medicine. 140:105051
This systematic review provides researchers interested in feature selection (FS) for processing microarray data with comprehensive information about the main research directions for gene expression classification conducted during the recent seven yea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e90b8bd7770220600be477d488cf019
https://doi.org/10.1016/j.compbiomed.2021.105051
https://doi.org/10.1016/j.compbiomed.2021.105051
Publikováno v:
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 119-143
International Journal of Interactive Mobile Technologies, Vol 15, Iss 21, Pp 119-143 (2021)
International Journal of Interactive Mobile Technologies, Vol 15, Iss 21, Pp 119-143 (2021)
Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ede5307a2caa1bccbea20e2c20ed1015
https://doi.org/10.3991/ijim.v15i21.26379
https://doi.org/10.3991/ijim.v15i21.26379
Publikováno v:
Journal of Software Engineering and Applications. 10:273-287
This work proposes the adoption of Autonomic Computing System (ACS) in Cloud environment. ACS was first introduced by IBM to create systems capable of managing automatic self-configuration, self-healing, self-optimization and self-protection. These s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7607fcff9283f4724b17efa2532bdbc
https://doi.org/10.4236/jsea.2017.103016
https://doi.org/10.4236/jsea.2017.103016
Autor:
Feras F. Namous, AlMonther H. Alkhalafat, Rizik M. H. Al-Sayyed, Bashar Al-Shboul, Samar Al-Saqqa
Publikováno v:
International Journal of Communications, Network and System Sciences. 10:59-74
The fast growing market of mobile device adoption and cloud computing has led to exploitation of mobile devices utilizing cloud services. One major chal-lenge facing the usage of mobile devices in the cloud environment is mobile synchronization to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02882a82d0f8a2e20bc557d4772f8912
https://doi.org/10.4236/ijcns.2017.104004
https://doi.org/10.4236/ijcns.2017.104004