Zobrazeno 1 - 10
of 2 614
pro vyhledávání: '"Wei Chien"'
Autor:
Wei Chien Sun, Po An Chen, Brian Po Rong Chen, Wei Chun Lee, Hsuan Kai Kao, Wen E Yang, Chia Hsieh Chang
Publikováno v:
Pediatrics and Neonatology, Vol 65, Iss 2, Pp 133-137 (2024)
Background: Previous classifications in polydactyly of the thumb were by the level of duplication on radiography. This study aimed to develop a practical algorithm based on physical characteristics for treatment guidelines. Methods: The polydactylies
Externí odkaz:
https://doaj.org/article/9e8d0d428bac4452b35a994397791e37
Autor:
Ajaykumar Manivannan, Wei Chien Benny Chin, Srilalitha Gopalakrishnan, Daniel K. H. Wong, Thomas Schroepfer, Roland Bouffanais
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract With the advent of distributed multi-sensory networks of devices, vast troves of real-time data can be gathered about our interactions with the built environment. These rich data sets can be mined to achieve improved and informed data-driven
Externí odkaz:
https://doaj.org/article/2624e71cfa934c06ab28bc839bede263
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 4, Pp 102592- (2024)
Construction noise is an occupational noise that is potentially harmful, and it usually originates from machinery in construction sites. The impact of construction noise on the health and safety of construction workers is one of the main concerns in
Externí odkaz:
https://doaj.org/article/c553cb7f94d84207a81e125f08438722
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5624 (2024)
The integration of electromagnetic imaging technology with the Internet of Things plays an important role in fields as diverse as healthcare, geophysics, and industrial diagnostics. This paper presents a novel two-step neural network architecture to
Externí odkaz:
https://doaj.org/article/f7554db85f6743b7a3b72704a0065571
Autor:
Wei Chien Benny Chin, Chen-Chieh Feng, Chan-Hoong Leong, Junxiong Pang, Hannah Eleanor Clapham, Atsushi Nara, Ming-Hsiang Tsou, Yi-Chen Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 121, Iss , Pp 103376- (2023)
Infectious disease spreading is a spatial interaction process. Assessing community vulnerability to infectious diseases thus requires not only information on local demographic and built environmental conditions, but also insights into human activity
Externí odkaz:
https://doaj.org/article/e6bed4b453b14e1d860822a4c4259981
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6794 (2023)
In the past, many conventional algorithms, such as self-adaptive dynamic differential evolution and asynchronous particle swarm optimization, were used to reconstruct buried objects in the frequency domain; these were unfortunately time-consuming dur
Externí odkaz:
https://doaj.org/article/e3c7c890f206461b86c4f4b59a8c335c
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5857 (2023)
This research implements the whale optimization algorithm (WOA) and spotted hyena optimizer (SHO) in inverse scattering to regenerate the conductor shape concealed in the half-space. TM waves are irradiated from the other half-space to a perfect cond
Externí odkaz:
https://doaj.org/article/df5b04da4a1c4c6e9736cefcc2acc30f
Autor:
Chung-Yuan Huang, Wei Chien Benny Chin
Publikováno v:
IEEE Access, Vol 8, Pp 71021-71040 (2020)
Many real-world networks consisting of nodes representing (in)tangible asymmetric information or energy flows must be modeled as directed graphs (digraphs). Several methods for classifying non-directional edges in terms of strong or weak ties have be
Externí odkaz:
https://doaj.org/article/80ab57aa454a44acb3e232fcd8deab5c
Autor:
Wei Chien Benny Chin, Chun-Hsiang Chan
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 8, Iss 2, p 72 (2023)
COVID-19 has struck the world with multiple waves. Each wave was caused by a variant and presented different peaks and baselines. This made the identification of waves with the time series of the cases a difficult task. Human activity intensities may
Externí odkaz:
https://doaj.org/article/42070c205cfa43f893137c495f101c95
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
The daily 10.7-cm Solar Radio Flux (F10.7) data is a time series with highly volatile. The accurate prediction of F10.7 has a great significance in the fields of aerospace and meteorology. At present, the prediction of F10.7 is mainly carried out by
Externí odkaz:
https://doaj.org/article/2458498e6b3442059943f189713130c9