Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Suhaiza Sulaiman"'
Autor:
Hazlienor Mohd Hatta, Nik Mohd Hafiz Mohd Fuzi, Suhaiza Sulaiman, Abdul Haris Muhammad, Zaini Hussin
Publikováno v:
International Journal of Epidemiologic Research, Vol 9, Iss 4, Pp 164-170 (2022)
Background and aims: Accurate and timely diagnosis is crucial for coronavirus disease 2019 (COVID-19) outbreaks. Antigen-detecting rapid diagnostic tests (Ag-RDTs) are easily accessible and affordable, producing rapid results. They are an alternative
Externí odkaz:
https://doaj.org/article/4da219cc09794579903c2ca788a3fcf9
Autor:
Cheng Wei Lim, Kong Yen Liew, Sie Hui Lim, Manraj Singh Cheema, Puteri Suhaiza Sulaiman, Hanis Hazeera Harith, Hasni Idayu Saidi, Chau Ling Tham
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 21, Iss 1, Pp 1-19 (2024)
Abstract The high cost of establishing a cell and tissue culture facility has denied students an opportunity to practice proper aseptic techniques during their studies. An in-house application named AsepticTech Virtual Reality (VR) was developed to s
Externí odkaz:
https://doaj.org/article/b84e7f54e44f4c86bbf48a25c9ba6311
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:
Sarah َQahtan Mohammed Salih, Puteri Suhaiza Sulaiman, Abdul Sattar Arif Khammas, Ramlan Mahmod, Rahmita Wirza O.K. Rahmat
Publikováno v:
Al-Mustansiriyah Journal of Science, Vol 30, Iss 4, Pp 57-70 (2020)
The rapid growth of computer graphics in human daily life has inspired researchers to maximize image understanding and discover new methods for visualizing 3D objects. However, the image quality is constrained by the depth cue limitations of 3D objec
Externí odkaz:
https://doaj.org/article/b4d32783456246989dc05f5b5bf53a3c
Publikováno v:
Vehicles (2624-8921); Jun2024, Vol. 6 Issue 2, p728-746, 19p
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
Autor:
Najihah Mahfuzah Zakria, Abdul Haris Muhammad, Zaini Hussin, Suhaiza Sulaiman, Nur Dalilah Mohd Zin, Nik Mohd Hafiz Mohd Fuzi, Hazlienor Mohd Hatta, Afiq Izzudin A Rahim
Publikováno v:
Ulum Islamiyyah. :149-165
As the global battle against COVID-19 rages on, Malaysia’s concerted effort in stemming the spread is commendable. This study characterized the epidemiology of COVID-19 aiming towards understanding the disease in a local setting for better preparat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336a4d12aa7aafcb24a5d1271a581954
https://doi.org/10.33102/uij.vol33no1.293
https://doi.org/10.33102/uij.vol33no1.293
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cea4d7e5e1342cd3fc8da8b58731b45
https://doi.org/10.1109/access.2021.3123570
https://doi.org/10.1109/access.2021.3123570
Autor:
Abdul Sattar Arif Khammas, Sarah Qahtan Mohammed Salih, Ramlan Mahmod, Puteri Suhaiza Sulaiman, Rahmita Wirza O. K. Rahmat
Publikováno v:
Mustansiriyah Journal of Science, Vol 30, Iss 4, Pp 57-70 (2020)
The rapid growth of computer graphics in human daily life has inspired researchers to maximize image understanding and discover new methods for visualizing 3D objects. However, the image quality is constrained by the depth cue limitations of 3D objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a77cf2d8d15d99b9221bc6ce5103dffc
https://doi.org/10.23851/mjs.v30i4.597
https://doi.org/10.23851/mjs.v30i4.597