Zobrazeno 1 - 10
of 521
pro vyhledávání: '"Kun Lai"'
Publikováno v:
IEEE Access, Vol 8, Pp 77142-77155 (2020)
App clone is a serious threat to the mobile app ecosystem, which not only damages the benefits of original developers, but also contributes to spreading malware. App clone detection has received extensive attentions from our research community, and a
Externí odkaz:
https://doaj.org/article/38f2611cb1894542ba7b513e81c6c2e2
Publikováno v:
Cellular Physiology and Biochemistry, Vol 48, Iss 1, Pp 120-130 (2018)
Background/Aims: Inflammatory response is a determinant in the pathological progression of acute pancreatitis (AP). Previous studies have shown that the activation of hedgehog (Hh) signaling is a remarkable change in caerulein-induced AP. However, th
Externí odkaz:
https://doaj.org/article/21b4548b3cc34f509dadd3164919c5a8
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1263-1274 (2024)
Abstract Recovering 3D human meshes from monocular images is an inherently ill‐posed and challenging task due to depth ambiguity, joint occlusion, and truncation. However, most existing approaches do not model such uncertainties, typically yielding
Externí odkaz:
https://doaj.org/article/c4516bf824b5492a91f9d07d9e214cbb
Autor:
Zhi-Lun Liu, Alexander Grun, Wei-Chih Chien, Asit Ray, Erh-Kun Lai, I-Ting Kuo, Lynne Gignac, Christian Lavoie, Matt BrightSky, Hsiang-Lan Lung, Huai-Yu Cheng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Ovonic threshold switching (OTS) materials that are frequently used with a resistor (1S1R) in memory devices have been found to show controllable and reversible memory properties, which could enable new memory architectures. Here, we examine
Externí odkaz:
https://doaj.org/article/f3b0531218ee42749355a1c7637dd001
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 4, Pp 292-307 (2024)
Background: With the development of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain the similarity to the person being
Externí odkaz:
https://doaj.org/article/3e96c416c6734a35a470176b3850a71b
Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images
Autor:
Chun-Peng Li, Weiwei Dai, Yun-Peng Xiao, Mengying Qi, Ling-Xiao Zhang, Lin Gao, Fang-Lue Zhang, Yu-Kun Lai, Chang Liu, Jing Lu, Fen Chen, Dan Chen, Shuai Shi, Shaowei Li, Qingyan Zeng, Yiqiang Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Timely and effective diagnosis of fungal keratitis (FK) is necessary for suitable treatment and avoiding irreversible vision loss for patients. In vivo confocal microscopy (IVCM) has been widely adopted to guide the FK diagnosis. We present
Externí odkaz:
https://doaj.org/article/bc5fd04cd23546babfd243c274caf6b8
Publikováno v:
Guoji Yanke Zazhi, Vol 15, Iss 11, Pp 2015-2017 (2015)
AIM: To compare the outcomes of severe congenital ptosis treated with levator shortening and frontalis muscle flap suspension.METHODS: Forty cases(58 eyes)with severe congenital ptosis were retrospective analyzed. Shortening levator muscle of upper e
Externí odkaz:
https://doaj.org/article/5cc7d51ede6049ff80ce4aabda6fe5b0
Publikováno v:
Computational Visual Media, Vol 10, Iss 2, Pp 215-241 (2024)
Abstract Visual simultaneous localisation and mapping (vSLAM) finds applications for indoor and outdoor navigation that routinely subjects it to visual complexities, particularly mirror reflections. The effect of mirror presence (time visible and its
Externí odkaz:
https://doaj.org/article/9a2cf32f448d4e96a28dbe7fcfbc10d6
Publikováno v:
Computational Visual Media, Vol 9, Iss 4, Pp 767-786 (2023)
Abstract Novel viewpoint image synthesis is very challenging, especially from sparse views, due to large changes in viewpoint and occlusion. Existing image-based methods fail to generate reasonable results for invisible regions, while geometry-based
Externí odkaz:
https://doaj.org/article/75595f0ce8e0462792114819b869c932
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