Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Tarik Alafif"'
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1566 (2024)
Pneumonia ranks among the most prevalent lung diseases and poses a significant concern since it is one of the diseases that may lead to death around the world. Diagnosing pneumonia necessitates a chest X-ray and substantial expertise to ensure accura
Externí odkaz:
https://doaj.org/article/6a820ab57c5a4cb19b7c8f3603038982
Autor:
Weiwei Zong, Eric Carver, Simeng Zhu, Eric Schaff, Daniel Chapman, Joon Lee, Hassan Bagher-Ebadian, Benjamin Movsas, Winston Wen, Tarik Alafif, Xiangyun Zong
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road blocks for clinical utilization. As an extension from our previous
Externí odkaz:
https://doaj.org/article/f436834c607d4632a41009330e5b1025
Autor:
Abdulmajeed F. Alrefaei, Yousef M. Hawsawi, Deyab Almaleki, Tarik Alafif, Faisal A. Alzahrani, Muhammed A. Bakhrebah
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The success of the Saudi Human Genome Program (SHGP), one of the top ten genomic programs worldwide, is highly dependent on the Saudi population embracing the concept of participating in genetic testing. However, genetic data sharing and art
Externí odkaz:
https://doaj.org/article/81bb20712f8741119b1c7f3cd0046cd2
Publikováno v:
IEEE Access, Vol 8, Pp 109475-109491 (2020)
The cardiac auscultation using the classical stethoscope (PCG: phonological cardiogram) is known as the most famous method to detect Cardiovascular Disease (CVD). However, this exam requires a qualified cardiologist which relies on the cardiac cycle
Externí odkaz:
https://doaj.org/article/5506343778604342916841257e1447cc
Publikováno v:
IEEE Access, Vol 8, Pp 204425-204432 (2020)
Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd. There are a variety of interesting research problems within the scope of cr
Externí odkaz:
https://doaj.org/article/0ad9a91668ea45d4bda4f2d69975129e
Publikováno v:
IEEE Network. 36:90-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b303449272305fdd7f68b96a3c190e
https://doi.org/10.1109/mnet.014.2000523
https://doi.org/10.1109/mnet.014.2000523
Autor:
Abdulrahman Alomary, Tarik Alafif, Abdulmohsen Almalawi, Anas Hadi, Faris Alkhilaiwi, Yasser Alatawi
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19a597b4c3a74ce582823c9882134904
https://doi.org/10.14569/ijacsa.2023.0140493
https://doi.org/10.14569/ijacsa.2023.0140493
Autor:
Ferial Alsaadi, Arwa Alotaibi, Nujood Almajnooni, Renad Alotaibi, Rawan Alharbi, Amaal Alharbi, Sari Sabban, Tarik Alafif, Ayman Albassam, Ashwaq Alharbi, Gadeer Alsulami, Maani Albishry, Rawabi Alharbi, Tahani Alkhodidi
Publikováno v:
International Journal of Information Technology. 14:165-173
Using Generative Adversarial Networks (GANs) have led to significant improvements in computer vision research filed. GANs are used to generate novel images by pitting two neural networks against each other, where a generator network generates images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf43fa647e45292eb4b3bb21f4cd1a0
https://doi.org/10.1007/s41870-021-00814-8
https://doi.org/10.1007/s41870-021-00814-8
Autor:
Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, Yasser Alatawi, Hassan Althobaiti, Abdulmajeed Alrefaei, Yousef Hawsawi, Tin Nguyen
Breast cancer is the most common cancer in the world and the second most common type of cancer that causes death in women. The timely and accurate diagnosis of breast cancer using histopathological images is crucial for patient care and treatment. Pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f591be9ac0238e558049fa7dd643ef
http://arxiv.org/abs/2211.00749
http://arxiv.org/abs/2211.00749
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:4531-4540
With the rapid development of wireless communication and flight control technologies, the unmanned aerial vehicles (UAVs) have been widely used in multiple application scenarios. A typical scenario is massive crowd management of the multi-millions an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf041beb6842f12c36bc0437abdc3de
https://doi.org/10.1109/tits.2020.3023189
https://doi.org/10.1109/tits.2020.3023189