Zobrazeno 1 - 10
of 10 545
pro vyhledávání: '"Sarhan, A."'
Spectrum-Based Fault Localization (SBFL) is a technique to be used during debugging, the premise of which is that, based on the test case outcomes and code coverage, faulty code elements can be automatically detected. SBFL is popular among researcher
Externí odkaz:
http://arxiv.org/abs/2403.11538
Autor:
Elkomy, Mohammed Alaa, Sarhan, Amany
In this paper, we present our approach to tackle Qur'an QA 2023 shared tasks A and B. To address the challenge of low-resourced training data, we rely on transfer learning together with a voting ensemble to improve prediction stability across multipl
Externí odkaz:
http://arxiv.org/abs/2401.13060
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract The fast growth of the film business, along with an ever-increasing number of movie options, has highlighted the need for better recommendation algorithms. This study investigates the application of sentiment analysis in a movie recommendati
Externí odkaz:
https://doaj.org/article/7ff45137ab4145e6ba4b35ca7c85b8ef
Publikováno v:
Pharmaceutical Sciences, Vol 30, Iss 4, Pp 456-468 (2024)
Background: T-LAK cell-originated protein kinase (TOPK), a member of the MEK3/6-related mitogen-activated protein kinase kinase (MAPKK) family, is highly overexpressed in various cancers. This overexpression is linked to the mitotic phase of the cell
Externí odkaz:
https://doaj.org/article/12b8d52ebe4e44f3959e7db987a3d19c
Publikováno v:
SRM Journal of Research in Dental Sciences, Vol 15, Iss 3, Pp 111-120 (2024)
Background The human ear significantly influences facial appearance. Auricular abnormalities can arise from many causes, and the cartilage cannot self-regenerate. Three-dimensional (3D) printing and computer-aided design/computer-aided manufacturing
Externí odkaz:
https://doaj.org/article/43780287e29849a5ade8a55e289f7f1a
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 29439-29473 (2024)
This paper introduces a novel bivariate distribution derived from the univariate exponentiated generalized inverted exponential (EGIE) distribution, which we term the bivariate exponentiated generalized inverted exponential (BEGIE) distribution. The
Externí odkaz:
https://doaj.org/article/7d9f077804f54edf8abb9f26491571d7
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objectives To evaluate and compare the ion-releasing capability of three different restorative systems at the restoration/tooth interface elemental analysis using energy-dispersive X-ray technique. Additionally, micromorphological patterns o
Externí odkaz:
https://doaj.org/article/6e95872b7aa047898dc7ac7e63f243b2
Autor:
Innocenti, Lucia, Antonelli, Michela, Cremonesi, Francesco, Sarhan, Kenaan, Granados, Alejandro, Goh, Vicky, Ourselin, Sebastien, Lorenzi, Marco
Healthcare data is often split into medium/small-sized collections across multiple hospitals and access to it is encumbered by privacy regulations. This brings difficulties to use them for the development of machine learning and deep learning models,
Externí odkaz:
http://arxiv.org/abs/2309.17097
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery (IJCARS) 2024
Automatic surgical phase recognition is one of the key technologies to support Video-Based Assessment (VBA) systems for surgical education. Utilizing temporal information is crucial for surgical phase recognition, hence various recent approaches extr
Externí odkaz:
http://arxiv.org/abs/2306.08859
Autor:
Manocchio, Liam Daly, Layeghy, Siamak, Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad, Portmann, Marius
This paper presents the FlowTransformer framework, a novel approach for implementing transformer-based Network Intrusion Detection Systems (NIDSs). FlowTransformer leverages the strengths of transformer models in identifying the long-term behaviour a
Externí odkaz:
http://arxiv.org/abs/2304.14746