Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shaobo Hou"'
Publikováno v:
Batteries, Vol 8, Iss 9, p 128 (2022)
The lithium-ion battery is considered the primary power supply source for electric vehicles due to its high-energy density, long lifespan, and no memory effect. Its performance and safety highly depend on its operating temperature. Therefore, a batte
Externí odkaz:
https://doaj.org/article/5680d5f26cf24ec2bc9a619a38f94192
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea7189957fd9255a93a56494263b55f
https://doi.org/10.2139/ssrn.4358493
https://doi.org/10.2139/ssrn.4358493
Publikováno v:
Dyes and Pigments. 204:110394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c850532a740ade08dd0508ac128d86
https://doi.org/10.1016/j.dyepig.2022.110394
https://doi.org/10.1016/j.dyepig.2022.110394
Autor:
Anne Mottram, Jessica Schrouff, Eric Loreaux, Martin G. Seneviratne, Diana Mincu, Nenad Tomasev, Ivan Protsyuk, Shaobo Hou, Alan Karthikesalingam, Sebastien Baur
Publikováno v:
CHIL
Recurrent Neural Networks (RNNs) are often used for sequential modeling of adverse outcomes in electronic health records (EHRs) due to their ability to encode past clinical states. These deep, recurrent architectures have displayed increased performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401bf20c03b42922b13baa9a0f5f8887
https://doi.org/10.1145/3450439.3451858
https://doi.org/10.1145/3450439.3451858
Publikováno v:
In Desalination 1 March 2008 220(1-3):524-530
Publikováno v:
Proc Natl Acad Sci U S A
The combination of reinforcement learning with deep learning is a promising approach to tackle important sequential decision-making problems that are currently intractable. One obstacle to overcome is the amount of data needed by learning systems of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b34868c5b121592fb344dc8d4eb7f3
https://pubmed.ncbi.nlm.nih.gov/32817541
https://pubmed.ncbi.nlm.nih.gov/32817541
Autor:
Shaobo Hou1, Hefei Zhang2
Publikováno v:
ASHRAE Transactions. 2004, Vol. 110 Issue 2, p125-129. 5p.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 12/1/2020, Vol. 117 Issue 48, p1-9, 9p
Publikováno v:
IEEE Transactions on Multimedia. 15:1755-1768
In this paper, we present a novel approach to speech- driven facial animation using a non-parametric switching state space model based on Gaussian processes. The model is an extension of the shared Gaussian process dynamical model, augmented with swi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::703253bc3b5bfc1e544794765a5b0923
https://doi.org/10.1109/tmm.2013.2279659
https://doi.org/10.1109/tmm.2013.2279659