Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yaohong Tang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Deep neural networks have achieved remarkable success in various fields. However, training an effective deep neural network still poses challenges. This paper aims to propose a method to optimize the training effectiveness of deep neural net
Externí odkaz:
https://doaj.org/article/27379ec273f34f91bafd10c9c2c3d8a7
Publikováno v:
Electronic Research Archive, Vol 31, Iss 2, Pp 575-598 (2023)
Thin-walled structures have been widely used in various parts of vehicle subsystems because of their high-efficiency impact energy absorption and lightweight characteristics. However, the impact deformation mode of conventional thin-walled structures
Externí odkaz:
https://doaj.org/article/66e96f90021144f09475f472af29c87f
Publikováno v:
Vibroengineering PROCEDIA. 43:21-26
Sufficient labeled fault samples are the key to ensuring the performance of deep learning diagnostic models. However, in practical engineering applications, machinery and equipment operate normally most of the time, and it is difficult to collect eno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08654110db724345a98dcfa9d837f6b
https://doi.org/10.21595/vp.2022.22674
https://doi.org/10.21595/vp.2022.22674
Publikováno v:
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaec85990e0a4190a78226e589dbfb79
https://doi.org/10.1109/ei256261.2022.10117224
https://doi.org/10.1109/ei256261.2022.10117224
Publikováno v:
2nd International Conference on Internet of Things and Smart City (IoTSC 2022）.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8730ff14bd606696a34c47d6ccaafb0
https://doi.org/10.1117/12.2637357
https://doi.org/10.1117/12.2637357
Publikováno v:
Electronics; Volume 11; Issue 18; Pages: 2957
An electrical capacitance tomography (ECT) sensor is an array capacitive sensor that is sensitive to the medium of the measured object and can be widely used in oil, natural gas, machinery and other industrial fields to solve the problem of multiphas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4ce703fe4e79a2f4e53bcd4cb962291
https://doi.org/10.3390/electronics11182957
https://doi.org/10.3390/electronics11182957
Autor:
Ying, Hejie1,2 (AUTHOR), Song, Mengmeng1,2 (AUTHOR) t2135@ndnu.edu.cn, Tang, Yaohong1,2 (AUTHOR), Xiao, Shungen1,2 (AUTHOR), Xiao, Zimin1 (AUTHOR)
Publikováno v:
Scientific Reports. 7/2/2024, Vol. 14 Issue 1, p1-11. 11p.
Publikováno v:
Electronic Research Archive. 2023, Vol. 31 Issue 10, p1-24. 24p.
Autor:
Kim, Donghyeon, Kim, Jinsung kimjsung@cau.ac.kr
Publikováno v:
Electronic Research Archive. 2023, Vol. 31 Issue 9, p1-27. 27p.
Publikováno v:
Electronic Research Archive. 2023, Vol. 31 Issue 7, p1-25. 25p.