Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ruisen Luo"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Most speech separation studies in monaural channel use only a single type of network, and the separation effect is typically not satisfactory, posing difficulties for high quality speech separation. In this study, we propose a convolutional
Externí odkaz:
https://doaj.org/article/d0e7c3a33d6b4689a893b61ff127b46f
Autor:
Songyi Dian, Peng Cheng, Qiang Ye, Jirong Wu, Ruisen Luo, Chen Wang, Dafeng Hui, Ning Zhou, Dong Zou, Qin Yu, Xiaofeng Gong
Publikováno v:
IEEE Access, Vol 7, Pp 27586-27603 (2019)
Wildfires could pose a significant danger to electrical transmission lines and cause considerable losses to the power grids and residents nearby. Previous studies of preventing wildfire damages to electrical transmission lines mostly analyze wildfire
Externí odkaz:
https://doaj.org/article/4553db7fa9294333afc9ba73c8292399
Autor:
Ruisen Luo, Qian Feng, Chen Wang, Xiaomei Yang, Haiyan Tu, Qin Yu, Shaomin Fei, Xiaofeng Gong
Publikováno v:
IEEE Access, Vol 6, Pp 70197-70211 (2018)
Imbalanced data exists commonly in machine learning classification applications. Popular classification algorithms are based on the assumption that data in different classes are roughly equally distributed; however, extremely skewed data, with instan
Externí odkaz:
https://doaj.org/article/49f21dc240494e678b7122793e57c4ca
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e111642 (2014)
Differences exist among analysis results of agriculture monitoring and crop production based on remote sensing observations, which are obtained at different spatial scales from multiple remote sensors in same time period, and processed by same algori
Externí odkaz:
https://doaj.org/article/c03d34fd19a240a0b6970ce1676f2401
Publikováno v:
Signal, Image and Video Processing. 16:1711-1719
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a198ee5debeb33f2847f6a810d228090
https://doi.org/10.1007/s11760-021-02127-6
https://doi.org/10.1007/s11760-021-02127-6
Publikováno v:
Wireless Networks. 27:4665-4676
Automatic modulation recognition is a critical challenge in the field of cognitive radio. In the process of communication, radio signals are modulated in various modes and are interfered by the complex electromagnetic environment. To cope with these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5f9906268b826f01a3bef41f4e62815
https://doi.org/10.1007/s11276-021-02758-0
https://doi.org/10.1007/s11276-021-02758-0
Publikováno v:
2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6390557a17dee40071c41c8b2a62672
https://doi.org/10.1109/ispds56360.2022.9874223
https://doi.org/10.1109/ispds56360.2022.9874223
Publikováno v:
2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ff1212f720f61d422a13e5c11eac1c
https://doi.org/10.1109/iceiec54567.2022.9835042
https://doi.org/10.1109/iceiec54567.2022.9835042
Publikováno v:
Information Fusion. 69:81-102
The dynamic ensemble selection of classifiers is an effective approach for processing label-imbalanced data classifications. However, such a technique is prone to overfitting, owing to the lack of regularization methods and the dependence on local ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0248b59e89fcc43d7ecd38e3d4b0e3cd
https://doi.org/10.1016/j.inffus.2020.10.017
https://doi.org/10.1016/j.inffus.2020.10.017
Autor:
Bian Tong, Li Yanming, Bin Li, Chen Wang, Xiaofeng Gong, Wang Zhiyuan, Ruijuan Wu, Ruisen Luo
Publikováno v:
Applied Intelligence. 51:7384-7401
Imbalanced data classification problem is widely existed in commercial activities and social production. It refers to the scenarios with considerable gap of sample amount among classes, thus significantly deteriorating the performance of the traditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e1c4f31d02050ad99719cea1ceeb8e
https://doi.org/10.1007/s10489-021-02235-3
https://doi.org/10.1007/s10489-021-02235-3