Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Ho, Ngan"'
Autor:
Islam, Md Mohaiminul, Ho, Ngan, Yang, Xitong, Nagarajan, Tushar, Torresani, Lorenzo, Bertasius, Gedas
Most video captioning models are designed to process short video clips of few seconds and output text describing low-level visual concepts (e.g., objects, scenes, atomic actions). However, most real-world videos last for minutes or hours and have a c
Externí odkaz:
http://arxiv.org/abs/2402.13250
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0293967 (2024)
Deep Learning models such as Convolutional Neural Networks (CNNs) are very effective at extracting complex image features from medical X-rays. However, the limited interpretability of CNNs has hampered their deployment in medical settings as they fai
Externí odkaz:
https://doaj.org/article/684163e436144ecea7007976cc0d4f9f
Autor:
Kevin Chun-Ho Ngan, Samuel M Hoenig, Hui Si Kwok, Nicholas Z Lue, Pallavi M Gosavi, David A Tanner, Emma M Garcia, Ceejay Lee, Brian B Liau
Publikováno v:
eLife, Vol 12 (2023)
Allostery enables dynamic control of protein function. A paradigmatic example is the tightly orchestrated process of DNA methylation maintenance. Despite the fundamental importance of allosteric sites, their identification remains highly challenging.
Externí odkaz:
https://doaj.org/article/77dc5b6fa55344c28ec05a1bf2d5c339
Autor:
Constantino Carlos Reyes-Aldasoro, Kwun Ho Ngan, Ananda Ananda, Artur d'Avila Garcez, Andrew Appelboam, Karen M Knapp
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0238926 (2020)
Fractures of the wrist are common in Emergency Departments, where some patients are treated with a procedure called Manipulation under Anaesthesia. In some cases, this procedure is unsuccessful and patients need to revisit the hospital where they und
Externí odkaz:
https://doaj.org/article/ba95a06a84d54778aac8d03333f4df2f
Autor:
Ananda Ananda, Kwun Ho Ngan, Cefa Karabağ, Aram Ter-Sarkisov, Eduardo Alonso, Constantino Carlos Reyes-Aldasoro
Publikováno v:
Sensors, Vol 21, Iss 16, p 5381 (2021)
This paper investigates the classification of radiographic images with eleven convolutional neural network (CNN) architectures (GoogleNet, VGG-19, AlexNet, SqueezeNet, ResNet-18, Inception-v3, ResNet-50, VGG-16, ResNet-101, DenseNet-201 and Inception
Externí odkaz:
https://doaj.org/article/6df7b90eb6ac40e49d6416a4a2cf6bef
Publikováno v:
In Collegian September 2016 23(3):275-284
Autor:
Kevin Chun-Ho Ngan, Samuel M Hoenig, Hui Si Kwok, Nicholas Z Lue, Pallavi M Gosavi, David A Tanner, Emma M Garcia, Ceejay Lee, Brian B Liau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5af23885b076db27413b07fe53044042
https://doi.org/10.7554/elife.80640.sa2
https://doi.org/10.7554/elife.80640.sa2
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Autor:
Jakpakorn Hemaprasertsuk, Watanapong Ratawessanun, Parthasarathi Bandyopadhyay, Boon Shin Chia, Suphawich Thanudamrong, Mohamad Kamal Hamdan, Nitipong Kongpat, Beibit Akbayev, Arthur Cheng Ho Ngan
Publikováno v:
Day 2 Wed, March 23, 2022.
Well testing provides useful data for reservoir characterization during various stages of field life, from exploration, development to production. The key information that are typically can be obtained are, information on reservoir properties, delive
Autor:
Chun-Ho Ngan, Kevin, Hoenig, Samuel M., Hui Si Kwok, Lue, Nicholas Z., Gosavi, Pallavi M., Tanner, David A., Garcia, Emma M., Lee, Ceejay, Liau, Brian B.
Publikováno v:
eLife; 2/22/2023, p1-30, 30p