Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Esraa Al-sharoa"'
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12801 (2023)
Cancer, a genetic disease, is considered one of the leading causes of death globally and affects people of all ages. Ribonucleic acid sequencing (RNA-Seq) is a technique used to quantify the expression of genes of interest and can be used to classify
Externí odkaz:
https://doaj.org/article/d69ce3b1a0db47d4a3aa08a14352cc51
Autor:
Esraa Al-sharoa, Selin Aviyente
Publikováno v:
Symmetry, Vol 15, Iss 7, p 1368 (2023)
Networks offer a compact representation of complex systems such as social, communication, and biological systems. Traditional network models are often inadequate to capture the diverse nature of contemporary networks, which may exhibit temporal varia
Externí odkaz:
https://doaj.org/article/25b6e95c685f47e1acfbe65e1bb6b65f
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1141 (2023)
Convolutional neural networks (CNN) have transformed the field of computer vision by enabling the automatic extraction of features, obviating the need for manual feature engineering. Despite their success, identifying an optimal architecture for a pa
Externí odkaz:
https://doaj.org/article/91a4782bd478495d82f91b97503a3d86
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2514 (2023)
Complex networks arise in various fields, such as biology, sociology and communication, to model interactions among entities. Entities in many real-world systems exhibit different types of interactions, which requires modeling these type of systems p
Externí odkaz:
https://doaj.org/article/ef7951f6a28c424e99661226d78bb94a
Autor:
Aviyente, Esraa Al-sharoa, Selin
Publikováno v:
Symmetry; Volume 15; Issue 7; Pages: 1368
Networks offer a compact representation of complex systems such as social, communication, and biological systems. Traditional network models are often inadequate to capture the diverse nature of contemporary networks, which may exhibit temporal varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::dc87473d7c9fa10cfc6d3c1eeeefe49f
Autor:
Selin Aviyente, Esraa Al-sharoa
Publikováno v:
IEEE Access. 10:43022-43043
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f5e2105dec752d62d879d23f701f63d
https://doi.org/10.1109/access.2022.3168659
https://doi.org/10.1109/access.2022.3168659
Autor:
Mohammad Al-wardat, Esraa Al-sharoa
Publikováno v:
IEEE Access. 10:134292-134306
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d053c4132b842eb8ef92d1b427e507f
https://doi.org/10.1109/access.2022.3232285
https://doi.org/10.1109/access.2022.3232285
Publikováno v:
IEEE Access, Vol 9, Pp 118757-118770 (2021)
Community detection in network-type data provides a powerful tool in analyzing and understanding real-world systems. In fact, community detection approaches aim to reduce the network’s dimensionality and partition it into a set of disjoint clusters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de9ebe43c457d600559270931a04bd0
https://ieeexplore.ieee.org/document/9515978/
https://ieeexplore.ieee.org/document/9515978/
Autor:
Esraa Al-sharoa, Baraa Rahahleh
Publikováno v:
Engineering Applications of Artificial Intelligence. 118:105657
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1559ce1f5cb1c2cbac1dbb4935a8d3d5
https://doi.org/10.1016/j.engappai.2022.105657
https://doi.org/10.1016/j.engappai.2022.105657
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 5:723-738
Networks provide a powerful tool to model complex systems where the different entities in the system are presented by nodes and their interactions by edges. With the availability of network-type data, different community detection algorithms have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::711e942a5b333b73155c8e2eaf8c485c
https://doi.org/10.1109/tsipn.2019.2942176
https://doi.org/10.1109/tsipn.2019.2942176