Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhongyi Lin"'
Autor:
Cuijuan Liao, Yizhao Chen, Jingmeng Wang, Yishuang Liang, Yansong Huang, Zhongyi Lin, Xingjie Lu, Yuanyuan Huang, Feng Tao, Danica Lombardozzi, Almut Arneth, Daniel S. Goll, Atul Jain, Stephen Sitch, Yanluan Lin, Wei Xue, Xiaomeng Huang, Yiqi Luo
Publikováno v:
Ecological Processes, Vol 11, Iss 1, Pp 1-16 (2022)
Abstract Background Large uncertainty in modeling land carbon (C) uptake heavily impedes the accurate prediction of the global C budget. Identifying the uncertainty sources among models is crucial for model improvement yet has been difficult due to m
Externí odkaz:
https://doaj.org/article/c29a84c84151447da9fd748e00ffd571
Publikováno v:
Symmetry, Vol 13, Iss 12, p 2436 (2021)
The urban public transportation system is an important part of urban transportation, and the rationality of public transportation routes layout plays a vital role in the transportation of the city. Improving the efficiency of public transportation ca
Externí odkaz:
https://doaj.org/article/84122df4d85e482dbab53060b064c9aa
Autor:
Fan He, Deyi Hu, Xianghua Yu, Fudong Li, Enfu Chen, Xinyi Wang, Dakun Huang, Zhongyi Lin, Junfen Lin
Publikováno v:
International Journal of Infectious Diseases, Vol 29, Iss C, Pp 287-291 (2014)
Background: Acupuncture carries the potential risk of transmission of pathogenic microorganisms from the environment to the patient, and from one patient to another. An outbreak of tuberculosis at a private clinic in eastern China was investigated to
Externí odkaz:
https://doaj.org/article/d474b731e9bd4688aa99b73e1d4c2832
Publikováno v:
IEEE Transactions on Intelligent Vehicles, vol 4, iss 3
We benchmark several widely-used deep learning frameworks and investigate the field programmable gate array (FPGA) deployment for performing traffic sign classification and detection. We evaluate the training speed and inference accuracy of these fra
Publikováno v:
Euro-Par 2021: Parallel Processing ISBN: 9783030856649
Euro-Par
Euro-Par
In deep learning pipelines, we demonstrate the performance benefits and tradeoffs of combining two convolution layers into a single layer on multicore CPUs. We analyze when and why fusion may result in runtime speedups, and study three types of layer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f942f1bd32c50827e8e042660156e88
https://doi.org/10.1007/978-3-030-85665-6_15
https://doi.org/10.1007/978-3-030-85665-6_15
Publikováno v:
Journal of Physics: Conference Series. 2083:022049
It is still unable to determine the categories of particle that composes the dark matter due to the shortage of detection methods. In this paper, we used the methods of separation of variables, analogy, and dimensional analysis to investigate dark ma
Publikováno v:
Food & Function. 8:1680-1687
Youcha is a novel tea drink from the northeast of Guangxi. This study aimed to investigate the hypolipidemic properties of Youcha in high-fat induced hyperlipidemic Sprague-Dawley (SD) rats. After designing the model, rats were randomly divided into
Publikováno v:
HPEC
This work addresses the 2019 Sparse Deep Neural Network Graph Challenge with an implementation of this challenge using the GraphBLAS programming model. We demonstrate our solution to this challenge with GraphBLAST, a GraphBLAS implementation on the G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c491115c11664feb862ab0cc96c55169
https://escholarship.org/uc/item/1fg335kd
https://escholarship.org/uc/item/1fg335kd
Publikováno v:
Neurochemistry international. 133
Diabetes-induced retinal neurodegeneration occurs before visible microvascular abnormalities. Hyperglycemia-induced endoplasmic reticulum (ER) stress (ERS) and oxidative stress(OS) were considered as the important factors during diabetic retinopathy
Publikováno v:
Lin, Zhongyi; Ota, Jeffrey M.; Owens, John D.; & Muyan-Ozcelik, Pinar. (2018). Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. 2018 IEEE Intelligent Vehicles Symposium (IV). UC Davis: College of Engineering. Retrieved from: http://www.escholarship.org/uc/item/7dc8d5vb
Intelligent Vehicles Symposium
Intelligent Vehicles Symposium
We benchmark several widely used deep-learning frameworks for performing deep-learning-related automotive tasks (e.g., traffic sign recognition) that need to achieve real-time and high accuracy results with limited resources available on embedded pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::074248f1a65ade600d2e78aaa2be32b5
http://www.escholarship.org/uc/item/7dc8d5vb
http://www.escholarship.org/uc/item/7dc8d5vb