Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yunzhe Xiao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2453 (2024)
Leveraging the open-world understanding capacity of large-scale visual-language pre-trained models has become a hot spot in point cloud classification. Recent approaches rely on transferable visual-language pre-trained models, classifying point cloud
Externí odkaz:
https://doaj.org/article/c4d21cf7425d4cbdbda53bd4d000a18d
Autor:
Yunzhe Xiao, Zhong Ming
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3268 (2019)
Vision-based 1D barcode reading has been the subject of extensive research in recent years due to the high demand for automation in various industrial settings. With the aim of detecting the image region of 1D barcodes, existing approaches are both s
Externí odkaz:
https://doaj.org/article/536e287a9a9447e8a8acc6abacb5af36
Publikováno v:
Advances in Economics and Management Research. 5:393
Expansionary fiscal policy is an important means for many countries to cope with economic crisis and promote economic development in recent years. The expansion of fiscal policy may lead to the increase of government debt and the expansion of money s
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
Accurate wind speed prediction can effectively reduce the wind abandon rate, thus reducing the operation cost of power system. However, the prediction of wind speed by a single algorithm may lead to incomplete extraction of relevant features and the
Publikováno v:
2020 Chinese Automation Congress (CAC).
MPC generally needs a digital control system to implement in practical. It is a typical digital control method, and digital control systems generally have the problem of one-step delay. In motor control, the existence of a one-step delay in the syste
Autor:
Zhong Ming, Yunzhe Xiao
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3268 (2019)
Applied Sciences
Volume 9
Issue 16
Applied Sciences
Volume 9
Issue 16
Vision-based 1D barcode reading has been the subject of extensive research in recent years due to the high demand for automation in various industrial settings. With the aim of detecting the image region of 1D barcodes, existing approaches are both s
Publikováno v:
Fourth International Workshop on Pattern Recognition.
Vision-based 1D barcode reading gains increasing research due to great demand of high degree of automation. Aiming at detecting image region of 1D barcodes, existing geometric approaches barely balance speed and precision. Deeplearning- based methods
Publikováno v:
Proceedings of SPIE; 9/18/2019, Vol. 11198, p1-6, 6p