Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Wei Ping, Loh"'
Autor:
Abed, Ahmed I., Wei Ping, Loh
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Publikováno v:
Journal of Industrial Engineering and Management, Vol 7, Iss 5, Pp 1222-1249 (2014)
Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company.Design/methodology/approach: In the first stage, constraint pro
Externí odkaz:
https://doaj.org/article/4d49ef3438f24a5ba550fc74ac21facc
Publikováno v:
International Journal of Lean Six Sigma, 2012, Vol. 3, Issue 3, pp. 206-230.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/20401461211282718
Autor:
Wei Ping Loh, Siti Syazni Zulkifli
Publikováno v:
Foot and Ankle Surgery. 26:25-32
The science of foot pressure studies the forces acting on the bottom and different regions of the foot along with the pressure exerted on the plantar surface with the interacting surface in contact. The information derived gave impact to human biomec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70a45e211c3e9998c1b92e75630df34
https://doi.org/10.1016/j.fas.2018.12.005
https://doi.org/10.1016/j.fas.2018.12.005
Autor:
Wei Ping Loh, Jerome Jie Jen Lee
Publikováno v:
Computers in Biology and Medicine. 108:213-222
Good badminton lunge skills have been quantitatively described using biomechanical attributes at both static and dynamic phases. The measurement of badminton lunge attributes has often been complicated by various experimental protocols used. No revie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8016b60d3f0238dbb2607edd78e26ed
https://doi.org/10.1016/j.compbiomed.2019.04.003
https://doi.org/10.1016/j.compbiomed.2019.04.003
Publikováno v:
Image and Vision Computing. 67:29-42
Multimedia data mining, particularly feature selection (FS), has been successfully applied in recent classification and recognition works. However, only a few studies in the contemporary literature have reviewed FS (e.g., analyses of data pre-process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3098f60ae6752273d7f8d734950433
https://doi.org/10.1016/j.imavis.2017.09.004
https://doi.org/10.1016/j.imavis.2017.09.004
Publikováno v:
Applied Mathematics and Computation. 283:70-89
A 2D human motion model developed based on polynomial regression data fit.Human motion modeled in three segments: backbone, upper body and lower body.Tolerance rate considers the acceptable range for reliable motion estimations.Classification accurac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::583f5c1fcfcf3c2312483d57f5cd3436
Publikováno v:
International Journal of Simulation Modelling. 15:42-55
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19617fab6169507aeb15ad141ba85cd1
https://doi.org/10.2507/ijsimm15(1)4.320
https://doi.org/10.2507/ijsimm15(1)4.320
Autor:
Wei Ping Loh, Siling Tang
Publikováno v:
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019).
The lower limb muscle fatigue and changes in lower limb kinematics during running and cycling indicate early signs of fall and injury risk. Past studies had analyzed the effects of running and cycl...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f821352436c4886b093ad5014e6989
https://doi.org/10.1063/1.5121136
https://doi.org/10.1063/1.5121136
Publikováno v:
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019).
Indoor cycling was commonly examined from the riding posture, saddle height or pedal force to analyze the muscular activity on cyclists’ lower limbs. While strong muscular strength and proper riding posture are important to minimize strain, the sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93fcd60e024451d47364deab4054b2db
https://doi.org/10.1063/1.5121137
https://doi.org/10.1063/1.5121137