Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Yining Hua"'
Autor:
Zhiyun Zhang, Yining Hua, Peilin Zhou, Shixu Lin, Minghui Li, Yujie Zhang, Li Zhou, Yanhui Liao, Jie Yang
Publikováno v:
Health Data Science, Vol 4 (2024)
Background: The COVID-19 pandemic has caused a disproportionate impact on the sexual and gender-diverse (SGD) community. Compared with non-SGD populations, their social relations and health status are more vulnerable, whereas public health data regar
Externí odkaz:
https://doaj.org/article/cfcb15d3ddb94cf3af9b2907decdac02
Autor:
Guihong Wan, Nga Nguyen, Feng Liu, Mia S. DeSimone, Bonnie W. Leung, Ahmad Rajeh, Michael R. Collier, Min Seok Choi, Munachimso Amadife, Kimberly Tang, Shijia Zhang, Jordan S. Phillipps, Ruple Jairath, Nora A. Alexander, Yining Hua, Meng Jiao, Wenxin Chen, Diane Ho, Stacey Duey, István Balázs Németh, Gyorgy Marko-Varga, Jeovanis Gil Valdés, David Liu, Genevieve M. Boland, Alexander Gusev, Peter K. Sorger, Kun-Hsing Yu, Yevgeniy R. Semenov
Publikováno v:
npj Precision Oncology, Vol 6, Iss 1, Pp 1-16 (2022)
Abstract Prognostic analysis for early-stage (stage I/II) melanomas is of paramount importance for customized surveillance and treatment plans. Since immune checkpoint inhibitors have recently been approved for stage IIB and IIC melanomas, prognostic
Externí odkaz:
https://doaj.org/article/677b9e82a3af4455b315991c7f27eef6
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e45419 (2023)
BackgroundFor an emergent pandemic, such as COVID-19, the statistics of symptoms based on hospital data may be biased or delayed due to the high proportion of asymptomatic or mild-symptom infections that are not recorded in hospitals. Meanwhile, the
Externí odkaz:
https://doaj.org/article/1a55ddab1c3f473481dbf414cd5331fd
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 10, p e39676 (2022)
BackgroundThe COVID-19 pandemic and its corresponding preventive and control measures have increased the mental burden on the public. Understanding and tracking changes in public mental status can facilitate optimizing public mental health interventi
Externí odkaz:
https://doaj.org/article/1ddfe8969d804bdcafffc19812cfeac3
Autor:
Weijun Lin, Xinghong Huang, Hui Fang, Victoria Wang, Yining Hua, Jingjie Wang, Haining Yin, Dewei Yi, Laihung Yau
Publikováno v:
IEEE Access, Vol 8, Pp 143920-143937 (2020)
Increasingly, blockchain technology is attracting significant attentions in various agricultural applications. These applications could satisfy the diverse needs in the ecosystem of agricultural products, e.g., increasing transparency of food safety
Externí odkaz:
https://doaj.org/article/dbd1266e97634817bf07e54d7f1bcb38
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 78 Issue 3, p3021-3039, 19p
Publikováno v:
Neurocomputing. 525:29-41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93fba26624c27b9269d38224596d981
https://doi.org/10.1016/j.neucom.2023.01.055
https://doi.org/10.1016/j.neucom.2023.01.055
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:1496-1506
Semantic segmentation is paramount for autonomous vehicles to have a deeper understanding of the surrounding traffic environment and enhance safety. Deep neural networks (DNN) have achieved remarkable performances in semantic segmentation. However, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba512ca7c173bb0088a193a4b6a4847d
https://doi.org/10.1109/tcds.2021.3117925
https://doi.org/10.1109/tcds.2021.3117925
Publikováno v:
Thursday, April 27.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb4d712a2829f8a8b4c1d82ddec5105
https://doi.org/10.1212/wnl.0000000000203563
https://doi.org/10.1212/wnl.0000000000203563
Autor:
Dewei Yi, Yining Hua
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:3248-3255
Deep neural networks (DNNs) technique has achieved impressive performance on semantic segmentation,while its training process requires a large amount of pixel-wise labelled data. Domain adaptation,as a promising solution,can break the restriction by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7969953e0be7469dfcd04dfe5636e15
https://doi.org/10.1109/tii.2021.3107785
https://doi.org/10.1109/tii.2021.3107785