Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Wei An Liew"'
Autor:
Emily Xi Tan, Shi Xuan Leong, Wei An Liew, In Yee Phang, Jie Ying Ng, Nguan Soon Tan, Yie Hou Lee, Xing Yi Ling
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Achieving untargeted chemical identification, isomeric differentiation, and quantification is critical to most scientific and technological problems but remains challenging. Here, we demonstrate an integrated SERS-based chemical taxonomy mac
Externí odkaz:
https://doaj.org/article/8bd317472e0a40fdba2c4672842a463f
Publikováno v:
IEEE Access, Vol 9, Pp 61513-61531 (2021)
There is a growing demand for explainability in complex artificial intelligence solutions to support critical applications’ decision-making processes. Barriers to explainable processes include black-box classifiers, such as deep learning, and noisy
Externí odkaz:
https://doaj.org/article/ec00fadeb7aa4d9e8ed18c5c85663e70
Autor:
Vijendra Pal Singh, Joe Yin Gan, Wei Ling Liew, Htoo Htoo Kyaw Soe, Sowmya Nettem, Sunil Kumar Nettemu
Publikováno v:
Dental Research Journal, Vol 16, Iss 1, Pp 29-35 (2019)
Background: Periodontitis is a public health concern since it is a major factor in tooth loss worldwide and has association with many systemic diseases. Sleep is a complex and essentially biological process and a critical factor for maintaining menta
Externí odkaz:
https://doaj.org/article/1e966edb525144a29e990c30788e4547
EXPLAINING PHYSIOLOGICAL AFFECT RECOGNITION WITH OPTIMIZED ENSEMBLES OF CLUSTERED EXPLAINABLE MODELS
Autor:
Wei Shiung Liew, Chu Kiong Loo
Publikováno v:
Malaysian Journal of Computer Science. 35:359-375
Affect recognition tasks involving physiological signals are difficult to generalize across a large population due to low signal-to-noise ratio and limited data availability. In addition, the use of deep learning models makes it difficult to determin
Publikováno v:
Malaysian Journal of Computer Science. 35:243-263
Current research in human action recognition (HAR) focuses on efficient and effective modelling of the temporal features of human actions in 3-dimensional space. Echo State Networks (ESNs) are one suitable method for encoding the temporal context due
Publikováno v:
ACM Computing Surveys; Oct2023, Vol. 55 Issue 10, p1-41, 41p, 2 Illustrations
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0185313 (2017)
Polymer electrolyte membranes based on the natural polymer κ-carrageenan were modified and characterized for application in electrochemical devices. In general, pure κ-carrageenan membranes show a low ionic conductivity. New membranes were develope
Externí odkaz:
https://doaj.org/article/ca1304bc8a414573a2ca35402138769d
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 724 (2019)
In the supply chain management literature, various mobile radio frequency identification (RFID) protocols have been proposed for minimizing cargo theft during transport while ensuring the integrity of the entire cargo load or transferring ownership o
Externí odkaz:
https://doaj.org/article/650f7b661c1746118ec3ebda4fda1970
Publikováno v:
Journal of Electroanalytical Chemistry. 937:117422
Autor:
Christopher Hang Liang Keh, Vincent Khor, Wei Chee Liew, Tian Fu Loh, Hung Leng Kaan, Shuo Ling Teo, Sze Wai Leong
Publikováno v:
Surgical Endoscopy. 36:930-935
Colonoscopy has been routinely performed with sedation. Previous studies showed that on-demand sedation colonoscopy is acceptable in patients. We aim to compare the clinical outcomes of patients undergoing colonoscopy with and without sedation. A pro