Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zixiao Yu"'
Publikováno v:
IET Communications, Vol 18, Iss 5, Pp 344-352 (2024)
Abstract The emergence of novel AI technologies and increasingly portable wearable devices have introduced a wider range of more liberated avenues for communication and interaction between human and virtual environments. In this context, the expressi
Externí odkaz:
https://doaj.org/article/800c47ba4b784e7f8bbaf02acf298e88
Autor:
Zixiao Yu, Yunseok Oh, Songmi Kim, Kyudong Han, Kornsorn Srikulnath, Qingyang Li, Ji-Seok Jang, Ho-Seong Lee
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/79f1e60ec2a24f9fbc5d916af847e695
Publikováno v:
Micromachines, Vol 13, Iss 7, p 992 (2022)
Electrode structure is an essential factor affecting the performance of flexible humidity sensors. In this study, Cu and Cu2 + 1O electrodes were printed by the one-step method using laser direct writing technology to reduce the nano–CuO ink on fle
Externí odkaz:
https://doaj.org/article/08d429d557ca4c80bba79fb5f7006559
Publikováno v:
Journal of Laser Micro / Nanoengineering; Feb2024, Vol. 19 Issue 1, p27-33, 7p
Hyper-Laplacian Regularized Concept Factorization in Low-rank Tensor Space for Multi-view Clustering
Tensor-oriented multi-view subspace clustering has achieved significant strides in assessing high-order correlations and improving clustering analysis of multi-view data. Nevertheless, most of existing investigations are typically hampered by the two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908e59fb02e5f26a8a82cfd262dc7833
http://arxiv.org/abs/2304.11435
http://arxiv.org/abs/2304.11435
Publikováno v:
IEEE Internet of Things Journal. 9:5357-5367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97929348cf7b0a7e8e56b941d944e2db
https://doi.org/10.1109/jiot.2021.3110468
https://doi.org/10.1109/jiot.2021.3110468
Autor:
Zhenyu Cui, Zixiao Yu
Publikováno v:
The Journal of Derivatives. 29:149-171
In this article, we present a new nonparametric method to extract the risk-neutral density from market-observed options prices. The method is based on novelly combining the Fourier cosine series method and the Carr-Madan spanning formula. In contrast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b5875505edb0f91c0c8a9fde5bf423e
https://doi.org/10.3905/jod.2021.1.137
https://doi.org/10.3905/jod.2021.1.137
Publikováno v:
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6627993f39d0a916aaee6930735ed2
https://doi.org/10.1109/mipr54900.2022.00055
https://doi.org/10.1109/mipr54900.2022.00055
Publikováno v:
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0090f4588002222aeea3565e78b18756
https://doi.org/10.1109/mipr54900.2022.00025
https://doi.org/10.1109/mipr54900.2022.00025
Publikováno v:
IEEE Internet of Things Journal. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0badb1805b598b4bd911dbcd58d7a69b
https://doi.org/10.1109/jiot.2023.3245522
https://doi.org/10.1109/jiot.2023.3245522