Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Wanli Ou"'
Autor:
Cory R. Lagasse, Wanli Ou, Leah D. Honka, William I. Atlas, Claire N. Hutton, Jana Kotaska, Morgan D. Hocking
Publikováno v:
Ecology and Society, Vol 19, Iss 4, p 19 (2014)
Communities in the Great Bear Rainforest of British Columbia, Canada are highly dependent on Pacific salmon (Oncorhynchus spp.) and the watersheds that support them, yet current monitoring efforts are likely inadequate for detecting changes in stream
Externí odkaz:
https://doaj.org/article/ac42541c30b04c549de6f0ff27aac546
Autor:
Sondra Eger, Paul Foley, U. Rashid Sumaila, Anthony Charles, Jim McIsaac, Lucia Fanning, Megan Bailey, Dyhia Belhabib, Darren Porter, Wanli Ou, John J. Couture, Edward J. Gregr, Larry Greba, Tasha Sutcliffe, Anne Marie Goodfellow, Evelyn Pinkerton, Richard Sparrow, Gerry Augustine, Irene Brueckner-Irwin, Robert L. Stephenson, Brandon Maloney, Natalie C. Ban, Maery Kaplan-Hallam, Sarah Harper, Nathan J. Bennett, Don Hall, Allison Stocks
Publikováno v:
Marine Policy. 87:186-193
Access, defined as the ability to use and benefit from available marine resources or areas of the ocean or coast, is important for the well-being and sustainability of coastal communities. In Canada, access to marine resources and ocean spaces is a s
Autor:
Youzhi Qu, Chen Wei, Penghui Du, Wenxin Che, Chi Zhang, Wanli Ouyang, Yatao Bian, Feiyang Xu, Bin Hu, Kai Du, Haiyan Wu, Jia Liu, Quanying Liu
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109550- (2024)
Summary: During the evolution of large models, performance evaluation is necessary for assessing their capabilities. However, current model evaluations mainly rely on specific tasks and datasets, lacking a united framework for assessing the multidime
Externí odkaz:
https://doaj.org/article/842b9830f95240d5ba082835f92a4c9f
Autor:
Youzhi Qu, Penghui Du, Wenxin Che, Chen Wei, Chi Zhang, Wanli Ouyang, Yatao Bian, Feiyang Xu, Bin Hu, Kai Du, Haiyan Wu, Jia Liu, Quanying Liu
Publikováno v:
The Innovation, Vol 5, Iss 2, Pp 100579- (2024)
Externí odkaz:
https://doaj.org/article/4a31ba93a3924e48b57e294d699f42fe
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 5 (2023)
ABSTRACT As an RNA virus, severe acute respiratory coronavirus 2 (SARS-CoV-2) is known for frequent substitution mutations, and substitutions in important genome regions are often associated with viral fitness. However, whether indel mutations are re
Externí odkaz:
https://doaj.org/article/59dd72b1404d426db9eed45153eadf74
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
A multi-task learning model is proposed to improve seasonal-to-annual prediction of the Indian Ocean Dipole (IOD). This model captures the inter-basin interactions between ENSO and IOD and distinctive precursors of positive and negative IOD events.
Externí odkaz:
https://doaj.org/article/3d029dd86bca46aa83ccf66b3627c4ea
Autor:
Geng Zhan, Dongang Wang, Mariano Cabezas, Lei Bai, Kain Kyle, Wanli Ouyang, Michael Barnett, Chenyu Wang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionBrain atrophy is a critical biomarker of disease progression and treatment response in neurodegenerative diseases such as multiple sclerosis (MS). Confounding factors such as inconsistent imaging acquisitions hamper the accurate measureme
Externí odkaz:
https://doaj.org/article/867972ba94c642f19c8a50ed8cf6f451
Autor:
Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Background and introductionFederated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite great success, FL's applications remain suboptimal in neuroimag
Externí odkaz:
https://doaj.org/article/114eca7e05d64d5b81f0d42092bb00a0
Publikováno v:
IEEE Access, Vol 7, Pp 39660-39669 (2019)
In this paper, we introduce an automatic method for image quality enhancement. Our method relies on a multi-level connected generator and a pair-wise relativistic discriminator. Moreover, we also incorporate auxiliary loss functions to exhibit a high
Externí odkaz:
https://doaj.org/article/6e46b0f4058e4b1fb8ef6a4171fd60c1
Autor:
Lagasse, Cory R.1, Wanli Ou1, Honka, Leah D.1, Atlas, William I.2, Hutton, Claire N.3,4, Kotaska, Jana5, Hocking, Morgan D.6,7
Publikováno v:
Ecology & Society. 2014, Vol. 19 Issue 4, p1-15. 15p. 1 Black and White Photograph, 8 Charts, 3 Graphs.