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pro vyhledávání: '"Helmy, Ahmed"'
Publikováno v:
Applied Water Science, Vol 14, Iss 12, Pp 1-15 (2024)
Abstract Slaughterhouse wastewater (SWW) is considered an industrial wastewater, which seriously harms the environment due to the high concentration of contaminants such as biochemical oxygen demand (BOD), chemical oxygen demand (COD), and total susp
Externí odkaz:
https://doaj.org/article/d3047a8f7a774b329e6bb4bb0b2e0ab3
Autor:
Hoda Mohamed Helmy Ahmed Sadec, Shrouk Mohamed Awadallah, Ahmed Mohamed Ibrahim, Amany Mohamed Rashad Abdel-Aziz, Aliaa Sayed Sheha
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-8 (2024)
Abstract Background In cervical cancer, accurate diagnosis of parametrial invasion (PMI) helps in determining the next step in management, either surgical resection or neoadjuvant therapy. Cervical cancer staging is still determined according to the
Externí odkaz:
https://doaj.org/article/7f636fad6de34250850465b5fed85f9c
Autor:
Helmy, Ahmed
Access networks have been going through many reformations to make them adapt to arising traffic trends and become better suited for many new demanding applications. To that end, incorporating fog and edge computing has become a necessity for supporti
Externí odkaz:
http://hdl.handle.net/10393/39912
Understanding and predicting mobility are essential for the design and evaluation of future mobile edge caching and networking. Consequently, research on prediction of human mobility has drawn significant attention in the last decade. Employing infor
Externí odkaz:
http://arxiv.org/abs/1903.00951
Autor:
Helmy, Ahmed
We envision future mobile networks to be human-centric supporting interest-aware delivery, where an interest maybe based on behavior, such as mobility pattern, location, or web browsing (or user profile) such as affiliation, attributes, or activity.
Externí odkaz:
http://arxiv.org/abs/1812.06518
Publikováno v:
Petroleum & Coal. 2024, Vol. 66 Issue 1, p176-191. 16p.
Akademický článek
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Understanding city-scale vehicular mobility and trip patterns is essential to addressing many problems, from transportation and pollution to public safety, among others. Using spatio-temporal analysis of vehicular mobility, promising solutions can be
Externí odkaz:
http://arxiv.org/abs/1809.02298
Mobility and network traffic have been traditionally studied separately. Their interaction is vital for generations of future mobile services and effective caching, but has not been studied in depth with real-world big data. In this paper, we charact
Externí odkaz:
http://arxiv.org/abs/1808.03842