Zobrazeno 1 - 10
of 38
pro vyhledávání: '"HONGXU YIN"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1538-1545 (2022)
This paper presents a new methodology for the identification of the control parameters of converters of Direct-drive Permanent Magnetic Synchronous Generator (DPMSG) using least square method. Firstly, the novel methodology for the control parameter
Externí odkaz:
https://doaj.org/article/aeacb34422d84935a17b93dc935dc27f
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-22
Mental health problems impact the quality of life of millions of people around the world. However, diagnosis of mental health disorders is a challenging problem that often relies on self-reporting by patients about their behavioral patterns and socia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbd103d90f4246aaa8f557de1f2c7a6f
https://doi.org/10.1145/3527170
https://doi.org/10.1145/3527170
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:1799-1809
Long short-term memory (LSTM) applications need fast yet compact models. Neural network compression approaches have been promising for cutting down network complexity by skipping insignificant weights. However, current strategies remain hardware-agno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6695d310d397638f5377c52d13e1a0cb
https://doi.org/10.1109/tetc.2021.3115475
https://doi.org/10.1109/tetc.2021.3115475
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:752-762
Deep neural networks (DNNs) have become a widely deployed model for numerous machine learning applications. However, their fixed architecture, substantial training cost, and significant model redundancy make it difficult to efficiently update them to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343b9b9278241cf7c898a27c79f424b0
https://doi.org/10.1109/tetc.2020.3037052
https://doi.org/10.1109/tetc.2020.3037052
Publikováno v:
Journal of Physics: Conference Series. 2468:012157
Under the dual-carbon target, the intermittent grid-connection of high-permeability distributed power generation and random charging of large-scale electric vehicles increase the volatility and randomness of the distribution network. Meanwhile, the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19923900bfe057cae1a269546e4a2141
https://doi.org/10.1088/1742-6596/2468/1/012157
https://doi.org/10.1088/1742-6596/2468/1/012157
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d6b74539784bf5cde9d30b458759777
https://doi.org/10.1109/cvpr52688.2022.01054
https://doi.org/10.1109/cvpr52688.2022.01054
Autor:
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03386586ccc3d187beee4b0bbbd9c540
http://arxiv.org/abs/2202.06924
http://arxiv.org/abs/2202.06924
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb995125d7c0a28cd835dfa5435cbd72
https://doi.org/10.1007/978-3-031-19775-8_9
https://doi.org/10.1007/978-3-031-19775-8_9
Publikováno v:
2021 IEEE Sustainable Power and Energy Conference (iSPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06af1215a11078d38a48e0a1976e0ac8
https://doi.org/10.1109/ispec53008.2021.9735616
https://doi.org/10.1109/ispec53008.2021.9735616