Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Salha M Alzahrani"'
Autor:
Tahani N. Alruqi, Salha M. Alzahrani
Publikováno v:
AI, Vol 4, Iss 3, Pp 667-691 (2023)
Chatbots are programs with the ability to understand and respond to natural language in a way that is both informative and engaging. This study explored the current trends of using transformers and transfer learning techniques on Arabic chatbots. The
Externí odkaz:
https://doaj.org/article/b289cd0d53ac481f9681b43bba902bbd
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101907- (2024)
The advent of attention-based architectures in medical imaging has ushered in an era of precision diagnostics, particularly in the detection and classification of brain tumors. This study introduced an innovative knowledge distillation framework empl
Externí odkaz:
https://doaj.org/article/8148b00a68c14ed7876a79c0af02ae7f
Autor:
Salha M. Alzahrani
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101810- (2023)
Attention-based methods have recently demonstrated notable advancements in brain tumor classification. To further advance and strengthen this development, we have developed ConvAttenMixer, a transformer model that incorporates convolutional layers al
Externí odkaz:
https://doaj.org/article/e88e8ee0037947d2b822fed50fe79b70
Autor:
Salha M. Alzahrani
Publikováno v:
Mathematics, Vol 12, Iss 5, p 689 (2024)
The burgeoning domain of medical imaging has witnessed a paradigm shift with the integration of AI, particularly deep learning, enhancing diagnostic precision and expediting the analysis of Computed Tomography (CT) images. This study introduces an in
Externí odkaz:
https://doaj.org/article/2b49095b236c4d2f960446e437383887
Autor:
Asrar G. Alharthi, Salha M. Alzahrani
Publikováno v:
Brain Sciences, Vol 13, Iss 11, p 1578 (2023)
Researchers have explored various potential indicators of ASD, including changes in brain structure and activity, genetics, and immune system abnormalities, but no definitive indicator has been found yet. Therefore, this study aims to investigate ASD
Externí odkaz:
https://doaj.org/article/c969133efbcb4bde9e38382fdb322a05
Autor:
Nojood M. Alharthi, Salha M. Alzahrani
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11625 (2023)
Sign languages are complex, but there are ongoing research efforts in engineering and data science to recognize, understand, and utilize them in real-time applications. Arabic sign language recognition (ArSL) has been examined and applied using vario
Externí odkaz:
https://doaj.org/article/86522f4f441741f092208b4cf419ac48
Publikováno v:
IEEE Access, Vol 9, Pp 3140-3154 (2021)
Analyzing social data as a participatory sensing system (PSS) provides a deep understanding of city dynamics, such as people's mobility patterns, social patterns, and events detection. In a PSS, individuals with mobile devices sense their environment
Externí odkaz:
https://doaj.org/article/e65da11375344a0386f25e4c57b7c1c3
Autor:
Fahad O Alhathla, Balqassm A Almalki, Maher M Alotibi, Mohammad S Alomeri, Saleh M Farhan, Manea A Almajnoni, Abed M Albishri, Ashraf M Atiah, Mohammed AF Bogus, Aisheh A Tyash, Bander F Alotaibi, Abdulatif G Almoabdi, Ahmed O Alsehami, Rola S Ekram, Ghazi A Alghashmari, Mubarak H Alharbi, Mushari F Alhrbi, Jamilah A Alqarni, Abdulrahman M Aljuaid, Amani M Alhutayrshi, Salha M Alzahrani, Ohood H Mulla, Dana J Alsulami, Sahar S Alzahrani, Mania A Algahdali, Badreeh S Alshahrani, Sameer A Almgnony, Rashed A Alzahrani
Publikováno v:
International Journal of Applied Research. 8:161-164
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5753f25b255fa594036d24c18c6256b4
https://doi.org/10.22271/allresearch.2022.v8.i11c.10317
https://doi.org/10.22271/allresearch.2022.v8.i11c.10317
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 27, Iss 3, Pp 248-268 (2015)
Highly obfuscated plagiarism cases contain unseen and obfuscated texts, which pose difficulties when using existing plagiarism detection methods. A fuzzy semantic-based similarity model for uncovering obfuscated plagiarism is presented and compared w
Externí odkaz:
https://doaj.org/article/e05720b229a74f72896633adca2582e4