1 code implementation • 5 Sep 2023 • Xu Si, Xinming Wu, Hanlin Sheng, Jun Zhu, Zefeng Li
Training specific deep learning models for particular tasks is common across various domains within seismology.
no code implementations • 24 Jun 2023 • Xu Si, Xinming Wu, Zefeng Li, Shenghou Wang, Jun Zhu
Overall, our study provides for the first time a prototype self-consistent all-in-one system of simultaneous seismic phase picking, association, and location, which has the potential for next-generation autonomous earthquake monitoring.
no code implementations • 8 Mar 2023 • Xinming Wu, Ji Dai
Reading emotions precisely from segments of neural activity is crucial for the development of emotional brain-computer interfaces.
no code implementations • 22 Sep 2022 • Enhua Jiang, Rujun Chen, Xinming Wu, Jianxin Liu, Debin Zhu, Weiqiang Liu
The subsequent processing results show that our method can significantly improve S/N and effectively solve the problem of lack of energy in dead band.
1 code implementation • 18 Aug 2019 • Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin
We propose a deep fully convolutional neural network with a new type of layer, named median layer, to restore images contaminated by the salt-and-pepper (s&p) noise.