Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Fatimah Khalid"'
Publikováno v:
Vehicles, Vol 6, Iss 2, Pp 728-746 (2024)
This study aims to improve the accuracy of predicting the severity of traffic accidents by developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction. The model combines multidimensional data analysis including envir
Externí odkaz:
https://doaj.org/article/1487e7ba41b44d08b1a4e5c10fb913c0
Autor:
Zhuoyi Tan, Hizmawati Madzin, Bahari Norafida, Rahmita Wirza OK Rahmat, Fatimah Khalid, Puteri Suhaiza Sulaiman
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102012- (2024)
Radiological diagnosis of lung cavities (LCs) is the key to identifying tuberculosis (TB). Conventional deep learning methods rely on a large amount of accurate pixel-level data to segment LCs. This process is time-consuming and laborious, especially
Externí odkaz:
https://doaj.org/article/a06fd2bbc241449089f7d327d61abffa
Autor:
Fatimah Khalid Asiri, Nouf Sahal Al Harbi, Manal Abdullah Alanazi, Mohammed M Aljuaid, Mochammad Fahlevi, Petra Heidler
Publikováno v:
BMJ Open, Vol 13, Iss 5 (2023)
Objectives This study aims to assess the level of resilience of medical workers in radiology departments in Riyadh, Kingdom of Saudi Arabia, during the COVID-19 outbreak and to explore associated factors.Setting Medical staff, including nurses, techn
Externí odkaz:
https://doaj.org/article/dfa2a5d839304c81bb968bb85caaf9ac
Publikováno v:
IEEE Access, Vol 9, Pp 146640-146652 (2021)
Recent breakthroughs with numerous visual experiences using mobile devices encourage the research of human-computer interaction (HCI) involving hand gesture recognition for Holograms, Virtual Reality, and Augmented Reality. The rise of these technolo
Externí odkaz:
https://doaj.org/article/4e266d5f8ae74008b6476774fe2c96ec
Publikováno v:
IEEE Access, Vol 8, Pp 129774-129784 (2020)
Preservation of image features caused by binary conversion is a difficult task under variation of illumination conditions. Several binary conversion-based methods have used an adaptive thresholding technique to improve their performance under illumin
Externí odkaz:
https://doaj.org/article/ff270304efeb4e28b3c8a8c17b419a52
Publikováno v:
PeerJ Computer Science, Vol 5, p e236 (2019)
As the technology for 3D photography has developed rapidly in recent years, an enormous amount of 3D images has been produced, one of the directions of research for which is face recognition. Improving the accuracy of a number of data is crucial in 3
Externí odkaz:
https://doaj.org/article/d64f25acdc4543c1b983a5a6bf8d9d25
Publikováno v:
Advances in Multimedia, Vol 2017 (2017)
Recent years have witnessed renewed interest in developing skin segmentation approaches. Skin feature segmentation has been widely employed in different aspects of computer vision applications including face detection and hand gestures recognition sy
Externí odkaz:
https://doaj.org/article/e9fe6b284f164ae69d322b0cbe727bfa
Akademický článek
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Autor:
Alyahya Khalid A, Aldrweesh Abdulrahman Khalid, Aldoughan Alghaydaa Fouad, Alarfaj Sumaia Mohammed, Alabdulqader Fatimah Khalid, Alarfaj Abdullah A
Publikováno v:
Archives of Otolaryngology and Rhinology. 8:014-019
Introduction: Coronavirus disease 2019 (COVID-19) is a severe acute respiratory syndrome. Globally, COVID-19 has infected more than 573 million people, with over 6.3 million deaths on July 27, 2022. The symptoms range from cold-like symptoms, cough,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::425cb5a189f813a9c19bee6da588b7f8
https://doi.org/10.17352/2455-1759.000147
https://doi.org/10.17352/2455-1759.000147
Akademický článek
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