Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Sherif, Mohamed Ahmed"'
Autor:
Ahmed M. Seddik Hassan, Reham Fathy Ahmed Abd El Aal, Asmaa Abd elmoneim Fahmi, Sherif Mohamed Ahmed Ali, Mohamed I. M. Abdelhady
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The research aim is to clarify the effect of courtyard placement, the ratio between length and width, and courtyard orientation on energy consumption in residential buildings in hot and dry climates, to seek planning and designing alternativ
Externí odkaz:
https://doaj.org/article/bba92625031644dea64a3133cc519557
Disaster prediction is one of the most critical tasks towards disaster surveillance and preparedness. Existing technologies employ different machine learning approaches to predict incoming disasters from historical environmental data. However, for sh
Externí odkaz:
http://arxiv.org/abs/2003.13779
Autor:
Röder, Michael, Sherif, Mohamed Ahmed, Saleem, Muhammad, Conrads, Felix, Ngomo, Axel-Cyrille Ngonga
The growing interest in making use of Knowledge Graphs for developing explainable artificial intelligence, there is an increasing need for a comparable and repeatable comparison of the performance of Knowledge Graph-based systems. History in computer
Externí odkaz:
http://arxiv.org/abs/2002.06039
Over the last years, the Linked Open Data (LOD) has evolved from a mere 12 to more than 10,000 knowledge bases. These knowledge bases come from diverse domains including (but not limited to) publications, life sciences, social networking, government,
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A15175
https://ul.qucosa.de/api/qucosa%3A15175/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A15175/attachment/ATT-0/
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Moussallem, Diego, Sherif, Mohamed Ahmed, Esteves, Diego, Zampieri, Marcos, Ngomo, Axel-Cyrille Ngonga
In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian. The data set is intended to support natural language processing appli
Externí odkaz:
http://arxiv.org/abs/1802.08148
Datasets containing geo-spatial resources are increasingly being represented according to the Linked Data principles. Several time-efficient approaches for discovering links between RDF resources have been developed over the last years. However, the
Externí odkaz:
http://arxiv.org/abs/1611.06128
Publikováno v:
In Data & Knowledge Engineering May 2021 133
Publikováno v:
In Procedia Computer Science 2018 137:139-150
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.