Zobrazeno 1 - 10
of 1 315
pro vyhledávání: '"ONG, MICHAEL"'
Autor:
Ong, Michael, Robertson, Sean, Peckham, Leo, de Aberasturi, Alba Jorquera Jimenez, Arkhangorodsky, Paula, Huo, Robin, Sakhardande, Aman, Hallap, Mark, Nagy, Naomi, Dunbar, Ewan
We introduce the Faetar Automatic Speech Recognition Benchmark, a benchmark corpus designed to push the limits of current approaches to low-resource speech recognition. Faetar, a Franco-Proven\c{c}al variety spoken primarily in Italy, has no standard
Externí odkaz:
http://arxiv.org/abs/2409.08103
Quantitative magnetization transfer (MT) imaging enables non-invasive characterization of the macromolecular environment of tissues. However, recent work has highlighted that the quantification of MT parameters exhibits orientation dependence in orde
Externí odkaz:
http://arxiv.org/abs/2408.09733
Autor:
Zhong, Junru, Yao, Yongcheng, Cahill, Donal G., Xiao, Fan, Li, Siyue, Lee, Jack, Ho, Kevin Ki-Wai, Ong, Michael Tim-Yun, Griffith, James F., Chen, Weitian
Purpose: The aim of this study was to demonstrate the utility of unsupervised domain adaptation (UDA) in automated knee osteoarthritis (OA) phenotype classification using a small dataset (n=50). Materials and Methods: For this retrospective study, we
Externí odkaz:
http://arxiv.org/abs/2212.07023
Autor:
Wang, Qian-Wen1 (AUTHOR), Ong, Michael Tim-Yun1 (AUTHOR) michael.ong@cuhk.edu.hk, Man, Gene Chi-Wai1 (AUTHOR), Yeung, Yi-Man1 (AUTHOR), He, Xin1 (AUTHOR), Choi, Ben Chi-Yin1 (AUTHOR), Ng, Jonathan Patrick2 (AUTHOR), Mok, Daniel Kam-Wah3 (AUTHOR), Lam, Tsz-Ping1 (AUTHOR), Yung, Patrick Shu-Hang1 (AUTHOR)
Publikováno v:
PLoS ONE. 10/21/2024, Vol. 19 Issue 10, p1-17. 17p.
Publikováno v:
Egyptian Informatics Journal, Vol 26, Iss , Pp 100479- (2024)
Machine learning (ML) and deep learning (DL) models have been extensively explored for the early diagnosis of various cancer diseases, including Leukemia, with many of them achieving significant performance improvements comparable to those of human e
Externí odkaz:
https://doaj.org/article/57113f45ae824beda3f18b0ed415f9e9
Autor:
Roy, Soumyajit, Saad, Fred, Sun, Yilun, Malone, Shawn, Spratt, Daniel E., Kishan, Amar U., Wallis, Christopher J.D., Jia, Angela Y., Mohamad, Osama, Swami, Umang, Ong, Michael, Agarwal, Neeraj, Chowdhury, Simon, Morgan, Scott C.
Publikováno v:
In European Journal of Cancer November 2024 211
Autor:
Mahamud, Eram, Fahad, Nafiz, Assaduzzaman, Md, Zain, S.M., Goh, Kah Ong Michael, Morol, Md. Kishor
Publikováno v:
In Decision Analytics Journal September 2024 12
Autor:
Zhu, Xiaobo, Cao, Mingde, Li, Kejia, Chan, Yau-Tsz, Chan, Hon-Fai, Mak, Yi-Wah, Yao, Hao, Sun, Jing, Ong, Michael Tim-Yun, Ho, Kevin Ki-Wai, Lee, Chien-Wei, Lee, Oscar Kuang-Sheng, Yung, Patrick Shu-Hang, Jiang, Yangzi
Publikováno v:
In Bioactive Materials September 2024 39:255-272
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract DNA-binding proteins (DBPs) play a significant role in all phases of genetic processes, including DNA recombination, repair, and modification. They are often utilized in drug discovery as fundamental elements of steroids, antibiotics, and an
Externí odkaz:
https://doaj.org/article/bf98c32785da4561a71393c1aec2067a
Real-Time Fire Detection: Integrating Lightweight Deep Learning Models on Drones with Edge Computing
Autor:
Md Fahim Shahoriar Titu, Mahir Afser Pavel, Goh Kah Ong Michael, Hisham Babar, Umama Aman, Riasat Khan
Publikováno v:
Drones, Vol 8, Iss 9, p 483 (2024)
Fire accidents are life-threatening catastrophes leading to losses of life, financial damage, climate change, and ecological destruction. Promptly and efficiently detecting and extinguishing fires is essential to reduce the loss of lives and damage.
Externí odkaz:
https://doaj.org/article/9e309180dff9486f95ffbdee0b404c40