Daily rhythms in heartbeat rate are intrinsic to the zebrafish heart

Autor: Sarah E. Webb, Andrew L. Miller, David Whitmore, Inga A. Frøland Steindal, Chun Ki Fong, Tim Hearn

Publikováno v: Current biology : CB. 31(5)

It is a well-established fact that different tissues within the body contain their own circadian clocks or pacemakers, where it is proposed that the clock controls the local, daily cell biology of that organ.1,2 In mammals, these peripheral clocks wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b53a539ab53d006c45cee99d7d20fb21
https://pubmed.ncbi.nlm.nih.gov/33689719

A robust iterative hypothesis testing design of the repeated genetic algorithm

Autor: Chun Ki Fong, Shiu Yin Yuen, Chi Kin Chow, Hoi Shan Lam, Shifeng Chen

Publikováno v: Image and Vision Computing. 23:972-980

The genetic algorithm is a simple and interesting optimization method for a wide variety of computer vision problems. However, its performance is often brittle and degrades drastically with increasing input problem complexity. While this problem is d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64c6d3bebb029d2bf56eae7fb101dcd9
https://doi.org/10.1016/j.imavis.2005.07.001

Guaranteeing the probability of success using repeated runs of genetic algorithm

Autor: Chun Ki Fong, Shiu Yin Yuen, Hoi Shan Lam

Publikováno v: Image and Vision Computing. 19:551-560

Though genetic algorithm (GA) has found widespread application, there appears to be no guarantee of success or quantitative measure of the probability of success in a given application. This paper addresses this problem using the notion of repeatedly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c54fa0c6a02fb52a7ed9514195bd0c20
https://doi.org/10.1016/s0262-8856(00)00100-1

A genetic algorithm with coverage for object localization

Autor: Chun Ki Fong, Shiu Yin Yuen

Publikováno v: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489).

The object localization problem is to compute the orientation for a given object which best fits the sensed data. In this paper, a genetic algorithm (GA) for object localization is investigated. A method called Coverage-based Genetic Induction (COGIN

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b67dbbdb2c33311cca8451d6ad416d6
https://doi.org/10.1109/isimp.2001.925327

A genetic algorithm with coverage for object localization.

Autor: Chun Ki Fong, Shiu Yin Yuen

Publikováno v: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video & Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489); 2001, p48-51, 4p