Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Xiaosuo WU"'
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 6, Pp 81-89 (2024)
In order to improve the Hoek-Brown strength criterion not considering the influence of intermediate principal stress on rock strength, the evolutions of rock strength were investigated according to the results of the rock true triaxial compression te
Externí odkaz:
https://doaj.org/article/b45b2b4a86af43508c81b33d93e5068e
Publikováno v:
IEEE Access, Vol 9, Pp 42438-42448 (2021)
Deep convolutional networks are of great significance for the automatic semantic annotation of remotely sensed images. Object position and semantic labeling are equally important in semantic segmentation tasks. However, the convolution and pooling op
Externí odkaz:
https://doaj.org/article/908a8bbe05c0445e9f51bc9b45fa000b
Publikováno v:
IEEE Access, Vol 9, Pp 28349-28360 (2021)
The trade-off between feature representation capability and spatial positioning accuracy is crucial to dense classification or semantic segmentation of remote sensing images. In order to better balance the low-level spatial details in the shallow net
Externí odkaz:
https://doaj.org/article/3e23e503e4c1459a929e521b10ab9d62
Publikováno v:
Photonics, Vol 9, Iss 12, p 988 (2022)
In this paper, a slot microring with an asymmetric grating structure is proposed. Through the coupling between the grating and the slot microring, a high free spectral range or EIT-like effects with a high quality factor can be achieved in the same d
Externí odkaz:
https://doaj.org/article/64c8305863a6447b8710adf1cae98ce5
Publikováno v:
IEEE Access, Vol 8, Pp 107802-107813 (2020)
With the widespread application of semantic segmentation in remote sensing images with high-resolution, how to improve the accuracy of segmentation becomes a research goal in the remote sensing field. An innovative Fully Convolutional Network (FCN) i
Externí odkaz:
https://doaj.org/article/4ffc8216802542b883f28c301cb8a163
Publikováno v:
Mobile Information Systems. 2023:1-15
With the increase of spatial resolution of remote sensing images, features of feature imaging become more and more complex, and the change detection methods based on techniques such as texture representation and local semantics are difficult to meet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2beb51b6fe7cc1ab4ec299b2b3f3b72f
https://doi.org/10.1155/2023/4200153
https://doi.org/10.1155/2023/4200153
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 1, Pp 1-9 (2017)
We report a silicon photonic circuit that can perform half-add operations using cascaded microring resonators (MRRs). Electrical pulse sequences regarded as the operands are applied to the corresponding MRRs to achieve their dynamic modulations. The
Externí odkaz:
https://doaj.org/article/8e181fc094624599a61b318079865221
Autor:
Yonghui Tian, Guolin Zhao, Zilong Liu, Anqi Guo, Huifu Xiao, Xiaosuo Wu, Yinghao Meng, Lin Deng, Xiaonan Guo, Guipeng Liu, Jianhong Yang
Publikováno v:
IEEE Photonics Journal, Vol 8, Iss 2, Pp 1-8 (2016)
In this paper, we propose a reconfigurable electro-optic logic circuit, which can perform any combinatorial logic operations using a microring resonator (MRR)-based optical switching array. The operands are represented by electrical signals, which ar
Externí odkaz:
https://doaj.org/article/1c94c7c190af4d1e9de3dc14171d73c6
Publikováno v:
IEEE Access, Vol 9, Pp 28349-28360 (2021)
The trade-off between feature representation capability and spatial positioning accuracy is crucial to dense classification or semantic segmentation of remote sensing images. In order to better balance the low-level spatial details in the shallow net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4c8edee31cd0167849b022c0788a7c0
https://doi.org/10.1109/access.2021.3058571
https://doi.org/10.1109/access.2021.3058571
Publikováno v:
IEEE Access, Vol 9, Pp 42438-42448 (2021)
Deep convolutional networks are of great significance for the automatic semantic annotation of remotely sensed images. Object position and semantic labeling are equally important in semantic segmentation tasks. However, the convolution and pooling op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f17d0010f76012fb0f28890aff9270
https://ieeexplore.ieee.org/document/9376925/
https://ieeexplore.ieee.org/document/9376925/