Zobrazeno 1 - 10
of 39
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
Publikováno v:
Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023).
Publikováno v:
2022 3rd International Conference on Control, Robotics and Intelligent System.
Publikováno v:
2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT).
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To quantitatively evaluate chronic kidney disease (CKD), a deep convolutional neural network-based segmentation model was applied to renal enhanced computed tomography (CT) images. A retrospective analysis was conducted on a cohort of 100 in
Externí odkaz:
https://doaj.org/article/bf460bdc30084b1fa7d7142e55ada423
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).
Autor:
Weicheng Yi, Haiyang Huang, Chengxing Lai, Tao He, Zhanshan Wang, Xinhua Dai, Yuzhi Shi, Xinbin Cheng
Publikováno v:
Micromachines, Vol 15, Iss 10, p 1267 (2024)
Chiral particles have attracted considerable attention due to their distinctive interactions with light, which enable a variety of cutting-edge applications. This review presents a comprehensive analysis of the optical forces acting on chiral particl
Externí odkaz:
https://doaj.org/article/7a4d6f2ca2444d39923ef57802ffa273