Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xiangwen LYU"'
Publikováno v:
Kuangchan zonghe liyong, Vol 45, Iss 4, Pp 76-81 (2024)
This is an article in the field of mineral processing engineering. Molybdenum has many good physical and chemical properties and is widely used in many fields. Molybdenum is mainly derived from molybdenite, but the resources of the easily beneficiate
Externí odkaz:
https://doaj.org/article/20c64e8e31304f5bb6118757d560bced
Publikováno v:
Kuangchan zonghe liyong, Vol 45, Iss 3, Pp 150-156 (2024)
This is an article in the field of mineral processing engineering. For a skarn copper ore, the disseminated particle size is fine, the valuable elements in the ore are Cu, S, Fe and the associated element Ag. Compared with the effects of copper prefe
Externí odkaz:
https://doaj.org/article/2b9946d9b6f842a0b336c19a3e397053
Autor:
Peiji Chen, Bochao Zou, Abdelkader Nasreddine Belkacem, Xiangwen Lyu, Xixi Zhao, Weibo Yi, Zhaoyang Huang, Jun Liang, Chao Chen
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Current decoding algorithms based on a one-dimensional (1D) convolutional neural network (CNN) have shown effectiveness in the automatic recognition of emotional tasks using physiological signals. However, these recognition models usually take a sing
Externí odkaz:
https://doaj.org/article/1d1e1d85277c47178512f4844acd2f79
Publikováno v:
Pattern Recognition Letters. 164:200-209
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68871e6f0f5fa686c29187d475f99829
https://doi.org/10.1016/j.patrec.2022.11.001
https://doi.org/10.1016/j.patrec.2022.11.001
Autor:
Bochao Zou, Jiali Han, Yingxue Wang, Rui Liu, Shenghui Zhao, Lei Feng, Xiangwen Lyu, Huimin Ma
Publikováno v:
IEEE Transactions on Affective Computing. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::969343739b203822e076643f0e68000d
https://doi.org/10.1109/taffc.2022.3181210
https://doi.org/10.1109/taffc.2022.3181210
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d00dfca6e904b7ed58bfc341182497d
https://doi.org/10.1109/bibm55620.2022.9995494
https://doi.org/10.1109/bibm55620.2022.9995494
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1a91f05e23b21bb531f261dcc60cf16
https://doi.org/10.1109/bibm52615.2021.9669618
https://doi.org/10.1109/bibm52615.2021.9669618
Publikováno v:
Neurocomputing. 359:130-138
Facial Action Unit (AU) recognition is an essential step in the facial analysis. A facial image has one or more AU(s). Given an AU, the number of images without the AU is far greater than that of images with the AU. So, AU recognition is not only a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d8b603dc11012decba7cb452d1c3b7
https://doi.org/10.1016/j.neucom.2019.05.018
https://doi.org/10.1016/j.neucom.2019.05.018
Publikováno v:
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence.
This paper presents a hybrid deep learning network for the prediction of group-level emotion and cohesiveness. In this work, we first train deep models individually on face, pose, whole image, as well as fusion of them on Group Affect Dataset to pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5b0250167c703e14223f011ebff2b9a
https://doi.org/10.1145/3395260.3395294
https://doi.org/10.1145/3395260.3395294
Publikováno v:
ISMAR Adjunct
This paper presents a novel method of reconstructing indoor scenes, both structures and objects, by a single panorama photo. The method combines room structure estimation, furniture detection, models selection, as well as 3D positions reasoning. Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe6df2b229c222378064a2e5daec9db1
https://doi.org/10.1109/ismar-adjunct.2019.00-21
https://doi.org/10.1109/ismar-adjunct.2019.00-21