Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Li Shengquan"'
Publikováno v:
Jixie qiangdu, Pp 16-25 (2023)
For the problems of system model inaccuracy, internal and external disturbances in active vibration control of an all-clamped plate structure, an active vibration control method based on an active disturbance rejection controller（ADRC） was introd
Externí odkaz:
https://doaj.org/article/ef5fdc79c792431e94037f212f68d1c7
Due to the unique characteristics of underwater environments, accurate 3D reconstruction of underwater objects poses a challenging problem in tasks such as underwater exploration and mapping. Traditional methods that rely on multiple sensor data for
Externí odkaz:
http://arxiv.org/abs/2410.08092
Although methods for estimating the pose of objects in indoor scenes have achieved great success, the pose estimation of underwater objects remains challenging due to difficulties brought by the complex underwater environment, such as degraded illumi
Externí odkaz:
http://arxiv.org/abs/2409.16600
Underwater object detection (UOD) is crucial for marine economic development, environmental protection, and the planet's sustainable development. The main challenges of this task arise from low-contrast, small objects, and mimicry of aquatic organism
Externí odkaz:
http://arxiv.org/abs/2306.00440
Deep learning for image super-resolution (SR) has been investigated by numerous researchers in recent years. Most of the works concentrate on effective block designs and improve the network representation but lack interpretation. There are also itera
Externí odkaz:
http://arxiv.org/abs/2210.07818
Autor:
Zhang, Chenjie, Ma, Hongkuan, Chen, Zhaochang, Li, Shengquan, Ma, Zhongze, Huang, Hui, Zhu, Ronghua, Jiao, Pengcheng
Publikováno v:
In iScience 19 April 2024 27(4)
Autor:
Li, Shengquan, Tang, Xingyu, Guo, Wenwen, Li, Yu, Chen, Dajiang, Zhang, Junbo, Zhang, Qiang, Xu, Haibo, Zhou, Xiaotian, Wan, Zhe, Premadasa, Roshira, Lu, Hongfei, Zhang, Qianyun, Salehi, Hadi, Jiao, Pengcheng
Publikováno v:
In Applied Materials Today April 2024 37
Autor:
Wang, Ji-Xiang, Qian, Jian, Li, Jia-Xin, Wang, Xiong, Lei, Chaojie, Li, Shengquan, Li, Jun, Zhong, Mingliang, Mao, Yufeng
Publikováno v:
In Journal of Colloid And Interface Science 15 March 2024 658:748-757
Autor:
Chen, Yang, Song, Pinhao, Liu, Hong, Dai, Linhui, Zhang, Xiaochuan, Ding, Runwei, Li, Shengquan
The performance of existing underwater object detection methods degrades seriously when facing domain shift caused by complicated underwater environments. Due to the limitation of the number of domains in the dataset, deep detectors easily memorize a
Externí odkaz:
http://arxiv.org/abs/2104.02230