Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Ibrahim A. Hamza"'
Autor:
Neveen M. Rizk, Sherif Abd-Elmaksoud, Tarek M. Farid, Maha M. A. Abohashish, Ahmad Z. Al-Herrawy, Ibrahim A. Hamza
Publikováno v:
Journal of the Egyptian Public Health Association, Vol 96, Iss 1, Pp 1-7 (2021)
Abstract Background Human bocavirus (HBoV) is globally distributed and associated with respiratory and enteric infections. Limited data are available about the incidence of HBoV in Egyptian children. We aimed to investigate the association of HBoV ge
Externí odkaz:
https://doaj.org/article/4db6a07e45ea47b59ede4f3088168a9a
In this paper, we introduce a new method for querying triadic concepts through partial or complete matching of triples using an inverted index, to retrieve already computed triadic concepts that contain a set of terms in their extent, intent, and/or
Externí odkaz:
http://arxiv.org/abs/2401.10271
In knowledge discovery applications, the pattern set generated from data can be tremendously large and hard to explore by analysts. In the Formal Concept Analysis (FCA) framework, there have been studies to identify important formal concepts through
Externí odkaz:
http://arxiv.org/abs/2312.14421
Autor:
Mohamed Ibrahim, Dalia Hamza1, Albakari, Sohair Mohamed2, Abdelbasit, Mohamed Salah3 msa_20122002@yahoo.com, Abdelsalam, Heba Ahmed1, Shokr Khalil, Dalia Mokhtar1
Publikováno v:
Zagazig University Medical Journal. 2024 Supplement, Vol. 30, p53-70. 18p.
Publikováno v:
26th International Conference on Conceptual Structures (ICCS' 2021), Graph-Based Representation and Reasoning, Volume 12879, pages: 119-126 (2021)
Discovering meaningful conceptual structures is a substantial task in data mining and knowledge discovery applications. While off-the-shelf interestingness indices defined in Formal Concept Analysis may provide an effective relevance evaluation in se
Externí odkaz:
http://arxiv.org/abs/2110.11262
Publikováno v:
IEEE Access, Volume: 9, pages:159549-159565, (2021)
Identifying important actors (or nodes) in a two-mode network often remains a crucial challenge in mining, analyzing, and interpreting real-world networks. While traditional bipartite centrality indices are often used to recognize key nodes that infl
Externí odkaz:
http://arxiv.org/abs/2109.03372
Publikováno v:
In Journal of Computational Science January 2024 75
One key challenge in Social Network Analysis is to design an efficient and accurate community detection procedure as a means to discover intrinsic structures and extract relevant information. In this paper, we introduce a novel strategy called (COIN)
Externí odkaz:
http://arxiv.org/abs/1902.03109
Autor:
Holvoet, Nathalie, Casten, Wanda, Demissie, Eshetu Woldeyohannes, Dewachter, Sara, Gamboa, Marian Kaye C., Adhanom, Tewelde Gebremariam, Ibrahim, Abdurahman Hamza, Makundi, Hezron, Manguni, Grachel, Manyuru, Georgina Angela, Mugabi, Nicholas, Nawanda, Yahya E., Nguyen, Chau Hoai, Pallangyo, William Amos, Pascual-Villar, Rose, Saavedra, Luz Prado, Salgado, Mariluz Torres, Tysmans, Nash, Vu, Anh Ngoc, Wuyts, Eva, Weldegebriel, Zerihun Berhane
Publikováno v:
In Evaluation and Program Planning April 2023 97
Autor:
Mahmoud S. Abdel-Wahed, Mohamed Mokhtar Hefny, Sherif Abd-Elmaksoud, Mohamed A. El-Liethy, Marwa A. Kamel, Amer S. El-Kalliny, Ibrahim Ahmed Hamza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract This study aimed to investigate the synergistic effect of the cold atmospheric plasma (CAP) and heterogeneous photocatalytic processes in an aqueous solution to enhance water purification efficacy and reduce the energy cost required by CAP.
Externí odkaz:
https://doaj.org/article/f08ae57e6d62475bb9d4c11dcdec4576