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pro vyhledávání: '"Sarah E. Shukri"'
Autor:
Sarah E. Shukri, Rizik Al-Sayyed, Hamed Al-Bdour, Esraa Alhenawi, Tamara Almarabeh, Hiba Mohammad
Publikováno v:
International Journal of Data and Network Science, Vol 7, Iss 4, Pp 1715-1728 (2023)
Technological advancements affect everyday life; they benefited our daily routines, habits, and activities. Underwater diving is one of the most interesting and attractive activities for tourists worldwide but could be risky and challenging. When pat
Externí odkaz:
https://doaj.org/article/1dc85921ffd8442e9ab49da75b351a8f
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 –...
Publikováno v:
Engineering Applications of Artificial Intelligence. 72:54-66
Clustering based on nature-inspired algorithms is considered as one of the fast growing areas that aims to benefit from such algorithms to formulate a clustering problem as an optimization problem. In this work, the search capabilities of a recent na
Publikováno v:
Expert Systems with Applications. 168:114230
Cloud computing is a trending technology that allows users to use computing resources remotely in a pay-per-use model. One of the main challenges in cloud computing environments is task scheduling, in which tasks should be scheduled efficiently to mi
Publikováno v:
2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).
Sentiment analysis is one of the fastest growing areas which uses the natural language processing, text mining and computational linguistic to extract useful information to help in the decision making process. In the recent years, social media websit