Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Siyang Lu"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100766- (2024)
Addressing the constraint of magnetic field gradients in the vapor cell on enhancing the sensitivity of atomic magnetometers, this paper proposed a dual-layer heater design based on genetic algorithms, effectively reduced the magnetic field gradients
Externí odkaz:
https://doaj.org/article/808bd584472041f898b13da77d1271cf
Publikováno v:
IEEE Access, Vol 8, Pp 8913-8921 (2020)
The recent success of deep neural networks is attributed in part to large-scale well-labeled training data. However, with the ever-increasing size of modern datasets, combined with the difficulty of obtaining label information, semi-supervised learni
Externí odkaz:
https://doaj.org/article/25621d438e89430d8a003fd483e0521e
Autor:
Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang
Publikováno v:
Information Sciences. 619:249-262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194f5b3465e6faa3d63c1fde9127e583
https://doi.org/10.1016/j.ins.2022.11.007
https://doi.org/10.1016/j.ins.2022.11.007
With versatility and complexity of computer systems, warning and errors are inevitable. To effectively monitor system’s status, system logs are critical. To detect anomalies in system logs, deep learning is a promising way to go. However, abnormal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b878a384d746a23d0aa49f58ff5f9d9a
https://doi.org/10.21203/rs.3.rs-2615528/v1
https://doi.org/10.21203/rs.3.rs-2615528/v1
Autor:
Qing Chen, Siyang Luo, Yujuan Wang, Zhu Chen, Ying Li, Maohua Meng, Yamei Li, Nan Xiao, Qiang Dong
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background There are differences in the research results regarding which edge design of occlusal veneers can achieve the best long-term success rate as a relatively new fixed prosthesis restoration method. Further research is needed. The thr
Externí odkaz:
https://doaj.org/article/ced823768f404c7eb1121756e3edcea7
Publikováno v:
Neural Information Processing ISBN: 9783031301070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ec493b95b9b9efcf8a3ac7d992cfbc0
https://doi.org/10.1007/978-3-031-30108-7_23
https://doi.org/10.1007/978-3-031-30108-7_23
Publikováno v:
2022 4th International Conference on Power and Energy Technology (ICPET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8523481312b4c43d16de1e5da0d0b0c
https://doi.org/10.1109/icpet55165.2022.9918475
https://doi.org/10.1109/icpet55165.2022.9918475
Autor:
XianRun Chen, Jukun Song, JiangLing Sun, JiQin Zhang, XingJin Chen, ChongWen Zeng, JiaXin Hu, XingTao Chang, FuQian Jin, SiYang Luo, Zhu Chen, Yi Luo
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Current research has been inconclusive regarding whether hepatitis B infection is associated with an increased risk of periodontitis. This study aims to test the null hypothesis that no association exists between hepatitis B infec
Externí odkaz:
https://doaj.org/article/bec49340b82049a9a2725f0e602d03af
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract The relationship between monetary loss and pain has been a recent research focus. Prior studies found similarities in the network representation patterns of monetary loss and pain, particularly social pain. However, the neural level evidence
Externí odkaz:
https://doaj.org/article/7c685ae3316247959eeac9bf786c749e
Publikováno v:
IEEE Access, Vol 8, Pp 8913-8921 (2020)
The recent success of deep neural networks is attributed in part to large-scale well-labeled training data. However, with the ever-increasing size of modern datasets, combined with the difficulty of obtaining label information, semi-supervised learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d50395f946996b3121fd1d267cf39a5
https://ieeexplore.ieee.org/document/8950402/
https://ieeexplore.ieee.org/document/8950402/