Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Haiyang Hua"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104049- (2024)
The point-based 3D object detection method is highly advantageous due to its lightweight nature and fast inference speed, making it a valuable asset in engineering fields such as intelligent transportation and autonomous driving. However, current adv
Externí odkaz:
https://doaj.org/article/2043af5d25e54a5fad6f9a1542328025
Publikováno v:
IEEE Access, Vol 11, Pp 36184-36202 (2023)
The perturbation features limit the performance of point cloud classification models, both for clean point clouds and those obtained from the real world. In this paper, we propose two methods to enhance models by reducing the negative impact of the n
Externí odkaz:
https://doaj.org/article/328e424d80f040b9bff659918558674c
Autor:
Jielin Li, Jiexuan Hu, Peng Li, Yongdong Wu, Yongjun Wang, Ming Ji, Haiyang Hua, Wenbin Ran, Yanglin Pan, Shutian Zhang, Yuanyuan Ji
Publikováno v:
Chinese Medical Journal, Vol 135, Iss 19, Pp 2319-2325 (2022)
Abstract. Background:. Endoscopic retrograde cholangiopancreatography (ERCP) is the endoscopic modality of choice for the treatment of biliary and pancreatic diseases. However, patients with cirrhosis, particularly those with decompensated cirrhosis,
Externí odkaz:
https://doaj.org/article/ebe18adb207a47b6b45c81de0ac7898f
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:5771-5782
Most of the deep learning object detection methods based on multi-modal information fusion cannot directly control the quality of the fused images at present, because the fusion only depends on the detection results. The indirectness of control is no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620efcab30ef8276c0563d042e2fe267
https://doi.org/10.3233/jifs-213074
https://doi.org/10.3233/jifs-213074
Publikováno v:
Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82f5b251916c20ec70938856ce0ea356
https://doi.org/10.1117/12.2674812
https://doi.org/10.1117/12.2674812
Publikováno v:
2022 3rd International Conference on Control, Robotics and Intelligent System.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f2e128c21e92871e5ac5b170b2caab
https://doi.org/10.1145/3562007.3562045
https://doi.org/10.1145/3562007.3562045
Publikováno v:
2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5fedba55caba8d3f8d282628f19f3f
https://doi.org/10.1109/iceict55736.2022.9908790
https://doi.org/10.1109/iceict55736.2022.9908790
Autor:
Hao Zhang, Haiyang Hua
Publikováno v:
Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0020162d0d93df88545fd56fac7d82b
https://doi.org/10.1117/12.2611650
https://doi.org/10.1117/12.2611650
Autor:
Huaici Zhao, Haiyang Hua
Publikováno v:
2009 Chinese Conference on Pattern Recognition.
Many machine learning algorithms can be applied only to data described by categorical attributes. So discretizatioti of continuous attributes is one of the important steps in preprocessing of extracting knowledge. Traditional discretization algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edca594a4330e29f5387a18e653ec02b
https://doi.org/10.1109/ccpr.2009.5344142
https://doi.org/10.1109/ccpr.2009.5344142
Autor:
Haiyang Hua, Huaici Zhao
Publikováno v:
2009 Chinese Conference on Pattern Recognition; 2009, p1-5, 5p