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pro vyhledávání: '"Chen, Jack"'
Autor:
Yao, Yi, Wang, Jun, Hu, Yabai, Wang, Lifeng, Zhou, Yi, Chen, Jack, Gai, Xuming, Wang, Zhenming, Liu, Wenjun
The evolution of software testing from manual to automated methods has significantly influenced quality assurance (QA) practices. However, challenges persist in post-execution phases, particularly in result analysis and reporting. Traditional post-ex
Externí odkaz:
http://arxiv.org/abs/2406.04356
Autor:
Xu, Hong, Gan, Yong, Zheng, Daikun, Wu, Bo, Zhu, Xian, Xu, Chang, Liu, Chenglu, Tao, Zhou, Hu, Yaoyue, Chen, Min, Li, Mingjing, Lu, Zuxun, Chen, Jack
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e21372 (2020)
BackgroundSo far, there have been no published population studies on the relationship between a COVID-19 infection and public risk perception, information source, knowledge, attitude, and behaviors during the COVID-19 outbreak in China. ObjectiveThi
Externí odkaz:
https://doaj.org/article/73c3efb6142341b1b6ff00ec0589a7c3
We investigate congruence relations of the form $p_r(\ell m n + t) \equiv 0 \pmod{\ell}$ for all $n$, where $p_r(n)$ is the number of $r$-colored partitions of $n$ and $m,\ell$ are distinct primes.
Externí odkaz:
http://arxiv.org/abs/2206.11779
Autor:
Navarro Sanchez, Janira M., Finkelman, Brian S., Tyburski, Haley, Turner, Bradley M., Moisini, Ioana, Katerji, Hani, Varghese, Sharlin, Wang, Xi, Schiffhauer, Linda M., Chen, Jack J., Hicks, David G., Zhang, Huina
Publikováno v:
In Human Pathology June 2024 148:51-59
Today's auto-tuners (e.g., AutoTVM, Ansor) generate efficient tensor programs by navigating a large search space to identify effective implementations, but they do so with opaque hardware details. Thus, their performance could fall behind that of har
Externí odkaz:
http://arxiv.org/abs/2110.15238
Autor:
Kemper, Joya A., Sharp, Emma, Yi, Shan, Leitao, Erin M., Padhye, Lokesh P., Kah, Melanie, Chen, Jack L.-Y., Gobindlal, Kapish
Publikováno v:
In Journal of Cleaner Production 25 February 2024 442
Autor:
Chen, Jack W., author
Publikováno v:
Memory in Medieval China: Text, Ritual, and Community. 140:63-81
Autor:
Sillekens, Eric, Yi, Wenting, Semrau, Daniel, Ottino, Alessandro, Karanov, Boris, Zhou, Sujie, Law, Kevin, Chen, Jack, Lavery, Domanic, Galdino, Lidia, Bayvel, Polina, Killey, Robert I.
We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km. Performance gains were comparable to those obtained with conventional, higher
Externí odkaz:
http://arxiv.org/abs/1912.12197
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