Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Dat-Thanh Dinh"'
Autor:
Che Lin MD-PhD, Chi-Yen Feng MD, Gilang P. Bahari MS, Sheng-Min Huang PhD, Cheng-Hao Wei MS, Qi Xu MS, Dat Thanh Dinh PhD, Dar-Ren Chen MD, Po-Hsiung Lin PhD
Publikováno v:
Cancer Control, Vol 31 (2024)
Purpose This prospective study aimed to investigate estrogen-induced carcinogenesis by assessing the background levels of abasic sites (apurinic/apyrimidinic sites, AP sites) in Taiwanese breast cancer patients following 5 years of postoperative trea
Externí odkaz:
https://doaj.org/article/bd72e417f7a24c0ab777bc559e395b43
Publikováno v:
ICMR
It is essential to develop efficient methods to detect abnormal events, such as car-crashes or stalled vehicles, from surveillance cameras to provide in-time help. This motivates us to propose a novel method to detect traffic accidents in traffic vid
Autor:
Hai-Dang Nguyen, Dat-Thanh Dinh, Mai-Khiem Tran, Gia-Han Diep, Lam Thanh Nguyen, Minh-Quan Le, Trong-Tung Nguyen, Hung Tran, Xuan-Nhat Hoang, Hieu Dao, Tien-Phat Nguyen, E-Ro Nguyen, Khac-Tuan Nguyen, The-Anh Vu-Le, Minh N. Do, Thanh-An Nguyen, Trong-Le Do, Trong-Thang Pham, Viet-Khoa Vo-Ho, Trung-Hieu Hoang, Quoc-Cuong Tran, Xuan-Vy Nguyen, Minh-Triet Tran, Tam V. Nguyen, Quang-Thuc Nguyen, Trung-Nghia Le, Hoang-Phuc Nguyen-Dinh
Publikováno v:
CVPR Workshops
Traffic flow analysis is essential for intelligent transportation systems. In this paper, we introduce our Intelligent Traffic Analysis Software Kit (iTASK) to tackle three challenging problems: vehicle flow counting, vehicle re-identification, and a
Publikováno v:
Future Data and Security Engineering ISBN: 9783319700038
FDSE
FDSE
As inertial sensors are low-cost, easy-to-use, and can be integrated in wearable devices, they can be used to establish as a new modality for user authentication in the smart environment in which computing systems can recognize persons implicitly by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f2e44cfd1f2288765d8a9b03358f6e5
https://doi.org/10.1007/978-3-319-70004-5_14
https://doi.org/10.1007/978-3-319-70004-5_14
Autor:
Liu, Yang1 (AUTHOR) yang_liu20@fudan.edu.cn, Yang, Dingkang2 (AUTHOR) dkyang20@fudan.edu.cn, Wang, Yan2 (AUTHOR) yanwang19@fudan.edu.cn, Liu, Jing3 (AUTHOR) jingliu19@fudan.edu.cn, Liu, Jun4 (AUTHOR) jun_liu@sutd.edu.sg, Boukerche, Azzedine5 (AUTHOR) aboukerc@uOttawa.ca, Sun, Peng6 (AUTHOR) peng.sun568@duke.edu, Song, Liang2 (AUTHOR) songl@fudan.edu.cn
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-38. 38p.
Autor:
Lin, Che, Feng, Chi-Yen, Bahari, Gilang P., Huang, Sheng-Min, Wei, Cheng-Hao, Xu, Qi, Dinh, Dat Thanh, Chen, Dar-Ren, Lin, Po-Hsiung
Publikováno v:
Cancer Control: Journal of the Moffitt Cancer Center; 11/9/2024, p1-9, 9p
Publikováno v:
Women's Health Weekly; 11/25/2024, p1120-1120, 1p
Publikováno v:
Cancer Weekly; 9/10/2024, p681-681, 1p
This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on results achieved in Vietnam and neighboring low- and middle-income countries. Covering both fundamental and applied research,
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover