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pro vyhledávání: '"Moon-Tong Chan"'
Autor:
Zilin Wang, Moon-Tong Chan
Publikováno v:
Computers & Education: X Reality, Vol 4, Iss , Pp 100046- (2024)
Google Cardboard (GC) has emerged as an affordable and user-friendly virtual reality (VR) viewer with significant potential as a pedagogical tool in educational settings. This article presents a systematic review of 35 empirical studies that investig
Externí odkaz:
https://doaj.org/article/71723d494a784ffeb6bd9121a302c6bb
Autor:
Debby D. Wang, Moon-Tong Chan
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 1088-1096 (2022)
As a key element in structure-based drug design, binding affinity prediction (BAP) for putative protein-ligand complexes can be efficiently achieved by the incorporation of structural descriptors and machine-learning models. However, developing conci
Externí odkaz:
https://doaj.org/article/8e56df6a5fa8406dbdd247deb9488122
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Breast cancer is the most common cause of cancer death in women. Early screening and treatment can effectively improve the success rate of treatment. Ultrasound imaging technology, as the preferred modality for breast cancer screening, provides an es
Externí odkaz:
https://doaj.org/article/70e7b1d7583c4f59832ad2221c8ab696
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 6291-6300 (2021)
Binding affinity prediction (BAP) using protein–ligand complex structures is crucial to computer-aided drug design, but remains a challenging problem. To achieve efficient and accurate BAP, machine-learning scoring functions (SFs) based on a wide r
Externí odkaz:
https://doaj.org/article/0eb163c916dc4917b73286811f8c9bd6
Publikováno v:
Sensors, Vol 22, Iss 1, p 250 (2021)
With the rise of deep learning, using deep learning to segment lesions and assist in diagnosis has become an effective means to promote clinical medical analysis. However, the partial volume effect of organ tissues leads to unclear and blurred edges
Externí odkaz:
https://doaj.org/article/160594b5331e4ca081fdfe0d86530a91
Publikováno v:
Sensors, Vol 22, Iss 250, p 250 (2022)
Sensors (Basel, Switzerland)
Sensors; Volume 22; Issue 1; Pages: 250
Sensors (Basel, Switzerland)
Sensors; Volume 22; Issue 1; Pages: 250
With the rise of deep learning, using deep learning to segment lesions and assist in diagnosis has become an effective means to promote clinical medical analysis. However, the partial volume effect of organ tissues leads to unclear and blurred edges
Publikováno v:
Computational Statistics & Data Analysis. 88:173-186
A multilevel model for ordinal data in generalized linear mixed models (GLMM) framework is developed to account for the inherent dependencies among observations within clusters. Motivated by a data set from the British Social Attitudes Panel Survey (