Zobrazeno 1 - 10
of 79
pro vyhledávání: '"HU ZeYuan"'
Publikováno v:
SHS Web of Conferences, Vol 190, p 01029 (2024)
With the development and progress of society and colleges and universities and higher research requirements, College English teachers’ research anxiety and pressure is increasing day by day. In this paper, the self-compiled survey with questionnair
Externí odkaz:
https://doaj.org/article/69549e26c8804323adf036a572d0a6e7
Publikováno v:
Jixie qiangdu, Vol 44, Pp 1113-1118 (2022)
Absrtact Maxon Cinema 4 D R21 was used to build 3 D model, and the composite structure of truss ball filled interwoven network tube was made by 3 D printing. The uniaxial compression tests of 3 D printed truss ball, aluminum alloy thin-walled tube an
Externí odkaz:
https://doaj.org/article/1e68cdb0025a4ce6a625614b03357e65
Autor:
Hu, Zeyuan, Subramaniam, Akshay, Kuang, Zhiming, Lin, Jerry, Yu, Sungduk, Hannah, Walter M., Brenowitz, Noah D., Romero, Josh, Pritchard, Michael S.
Modern climate projections often suffer from inadequate spatial and temporal resolution due to computational limitations, resulting in inaccurate representations of sub-grid processes. A promising technique to address this is the Multiscale Modeling
Externí odkaz:
http://arxiv.org/abs/2407.00124
Inspired by the TreeTracker algorithm used in Constraint Satisfaction we present a novel linear-time join algorithm, TreeTracker Join (TTJ). TTJ is very similar to a standard binary hash join, but introduces a test that identifies when a tuple is dan
Externí odkaz:
http://arxiv.org/abs/2403.01631
Autor:
Lin, Jerry, Yu, Sungduk, Peng, Liran, Beucler, Tom, Wong-Toi, Eliot, Hu, Zeyuan, Gentine, Pierre, Geleta, Margarita, Pritchard, Mike
Machine-learning (ML) parameterizations of subgrid processes (here of turbulence, convection, and radiation) may one day replace conventional parameterizations by emulating high-resolution physics without the cost of explicit simulation. However, the
Externí odkaz:
http://arxiv.org/abs/2309.16177
Autor:
Yu, Sungduk, Hu, Zeyuan, Subramaniam, Akshay, Hannah, Walter, Peng, Liran, Lin, Jerry, Bhouri, Mohamed Aziz, Gupta, Ritwik, Lütjens, Björn, Will, Justus C., Behrens, Gunnar, Busecke, Julius J. M., Loose, Nora, Stern, Charles I., Beucler, Tom, Harrop, Bryce, Heuer, Helge, Hillman, Benjamin R., Jenney, Andrea, Liu, Nana, White, Alistair, Zheng, Tian, Kuang, Zhiming, Ahmed, Fiaz, Barnes, Elizabeth, Brenowitz, Noah D., Bretherton, Christopher, Eyring, Veronika, Ferretti, Savannah, Lutsko, Nicholas, Gentine, Pierre, Mandt, Stephan, Neelin, J. David, Yu, Rose, Zanna, Laure, Urban, Nathan, Yuval, Janni, Abernathey, Ryan, Baldi, Pierre, Chuang, Wayne, Huang, Yu, Iglesias-Suarez, Fernando, Jantre, Sanket, Ma, Po-Lun, Shamekh, Sara, Zhang, Guang, Pritchard, Michael
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderstorms that occur on the sub-resolution scale. Hybrid methods combining
Externí odkaz:
http://arxiv.org/abs/2306.08754
Autor:
Hu, Zeyuan, Yuan, Ziang
The detection of malicious websites has become a critical issue in cybersecurity. Therefore, this paper offers a comprehensive review of data-driven methods for detecting malicious websites. Traditional approaches and their limitations are discussed,
Externí odkaz:
http://arxiv.org/abs/2305.09084
Autor:
Hu, Zeyuan1 (AUTHOR) zeyuan_hu@fas.harvard.edu, Jeevanjee, Nadir2 (AUTHOR), Kuang, Zhiming1,3 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Nov2024, Vol. 16 Issue 11, p1-25. 25p.
DDEYOLOv9: Network for Detecting and Counting Abnormal Fish Behaviors in Complex Water Environments.
Autor:
Li, Yinjia1,2,3,4 (AUTHOR) liyjee@126.com, Hu, Zeyuan1,2,3,4 (AUTHOR) huzy@dlou.edu.cn, Zhang, Yixi1,2,3,4 (AUTHOR) ljh1365590957@outlook.com, Liu, Jihang1,2,3,4 (AUTHOR) wan.tu@outlook.com, Tu, Wan1,2,3,4 (AUTHOR) yuhong@dlou.edu.cn, Yu, Hong1,2,3,4 (AUTHOR)
Publikováno v:
Fishes (MDPI AG). Jun2024, Vol. 9 Issue 6, p242. 21p.
Visual question answering (VQA) and image captioning require a shared body of general knowledge connecting language and vision. We present a novel approach to improve VQA performance that exploits this connection by jointly generating captions that a
Externí odkaz:
http://arxiv.org/abs/1906.00513