Zobrazeno 1 - 10
of 205
pro vyhledávání: '"El-Fishawy P"'
Autor:
Marwa A. Nasr, Walid El-Shafai, El-Sayed M. El-Rabaie, Adel S. El-Fishawy, Heba M. El-Hoseny, Fathi E. Abd El-Samie, Nariman Abdel-Salam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The development of innovative methods for concealing critical data in multimedia files has exploded in information security in recent years. Cryptography and steganography cannot be used alone to protect data; rather, they can be combined an
Externí odkaz:
https://doaj.org/article/ac86901248424fd2ad523f7349ea5226
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7163-7182 (2024)
Abstract Satellite swarm networks have occupied a prominent position in many modern applications due to their low cost, simplicity of design, and flexibility. Reliability is an influential factor in the design of satellite networks with different str
Externí odkaz:
https://doaj.org/article/6703aaeaf746480aaf8a40ac3356c8e9
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 4, Pp 102605- (2024)
The Massive Open Online Courses (MOOCs) platform offers communication channels for students to share concerns about the educational process. Due to the large number of students compared to the instructors’, it is challenging to identify urgent foru
Externí odkaz:
https://doaj.org/article/560e6b14204b4aa3937ab5e2e7d7b9d9
Akademický článek
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Publikováno v:
Alexandria Engineering Journal, Vol 70, Iss , Pp 377-394 (2023)
The economic and social effects from electric disruptions have been increasing. They can cause current and voltage interferences and result in disasters. Therefore, online assessment of transit stability is essential for the control of power systems,
Externí odkaz:
https://doaj.org/article/840bccd3f22b484ca3f01af2d6dd8e57
Publikováno v:
Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-12 (2023)
Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine, LYVE1, REG1B, and TFF1 present a promising non-invasive and inexpensive diag
Externí odkaz:
https://doaj.org/article/99618e7177654ce8b32e16c3196f1361
Publikováno v:
Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-23 (2023)
Abstract Background In the current genomic era, gene expression datasets have become one of the main tools utilized in cancer classification. Both curse of dimensionality and class imbalance problems are inherent characteristics of these datasets. Th
Externí odkaz:
https://doaj.org/article/0c41127b15534c24a5343796f812d64a
Autor:
Walaa M. Ismail, Shahira M. Ezzat, Aliaa E.M.K. El-Mosallamy, Kadriya S. El Deeb, Ahlam M. El-Fishawy
Publikováno v:
ACS Omega, Vol 7, Iss 50, Pp 46524-46535 (2022)
Externí odkaz:
https://doaj.org/article/52841361bdfe4ff79616a7705fe5de16
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5059-5074 (2022)
Machine learning classifiers perform well on balanced datasets. Unfortunately, a lot of the real-world data sets are naturally imbalanced. So, imbalanced classification is a serious problem in machine learning. The imbalanced class distribution misle
Externí odkaz:
https://doaj.org/article/b6c1e31c5c734539b632df51326f3158
Akademický článek
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