Zobrazeno 1 - 10
of 939
pro vyhledávání: '"TIAN Biao"'
Publikováno v:
Dianxin kexue, Vol 40, Pp 174-186 (2024)
Performance tests help to verify whether a business cluster can meet its access scale requirements, but current tools have problems such as evaluating proper parameters and requiring manual inputs, low performance, and difficulty in automation. A com
Externí odkaz:
https://doaj.org/article/457f51efadd04cd6b39f9583c66ef0f5
Autor:
Ding Shilin, Liu Chaolei, Shang Lianguang, Yang Shenglong, Zhang Anpeng, Jiang Hongzhen, Ruan Banpu, Fang Guonan, Tian Biao, Ye Guoyou, Guo Longbiao, Qian Qian, Gao Zhenyu
Publikováno v:
Rice Science, Vol 28, Iss 1, Pp 81-88 (2021)
Cadmium (Cd) is a non-essential toxic metal that is harmful to plants. To investigate the genetic mechanism of Cd tolerance in rice, quantitative trait loci (QTLs) associated with Cd tolerance at the seedling stage were analyzed using a recombinant i
Externí odkaz:
https://doaj.org/article/0dd8319c2e2845868bc8aac2a290f502
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7246-7258 (2021)
Attitude estimation is a significant task for monitoring noncooperative spacecraft in orbit. Inverse synthetic aperture radar (ISAR) is an effective method to obtain the structure, size, and attitude of spacecraft. Most existing methods of attitude e
Externí odkaz:
https://doaj.org/article/baea39a10fc941ef8bfada74506ad01b
Autor:
Wang, Xiangtao, Wang, Ruizhi, Tian, Biao, Zhang, Jiaojiao, Zhang, Shuo, Chen, Junyang, Lukasiewicz, Thomas, Xu, Zhenghua
Existing self-supervised learning methods based on contrastive learning and masked image modeling have demonstrated impressive performances. However, current masked image modeling methods are mainly utilized in natural images, and their applications
Externí odkaz:
http://arxiv.org/abs/2302.13699
This paper proposes a joint acoustic echo cancellation (AEC) and speech dereverberation (DR) algorithm in the short-time Fourier transform domain. The reverberant microphone signals are described using an auto-regressive (AR) model. The AR coefficien
Externí odkaz:
http://arxiv.org/abs/2302.04469
It is critical for a keyword spotting model to have a small footprint as it typically runs on-device with low computational resources. However, maintaining the previous SOTA performance with reduced model size is challenging. In addition, a far-field
Externí odkaz:
http://arxiv.org/abs/2204.05445
Autor:
Chen, Lijing, Ding, Minghu, She, Yong, Zhang, Lei, Zeng, Zhaoliang, Jia, Jiajia, Zheng, Yu, Tian, Biao, Zhu, Kongju, Wang, Xin, Yao, Zhendong, Che, Huizheng
Publikováno v:
In Atmospheric Research 1 October 2024 308
This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Challenge. We take a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to deal with the linear echo components while the latter suppresses the r
Externí odkaz:
http://arxiv.org/abs/2202.06850
Building efficient architecture in neural speech processing is paramount to success in keyword spotting deployment. However, it is very challenging for lightweight models to achieve noise robustness with concise neural operations. In a real-world app
Externí odkaz:
http://arxiv.org/abs/2201.05863
Publikováno v:
In Journal of Molecular Structure 5 December 2024 1317