Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Daiwei Li"'
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4124 (2024)
The use of artificial intelligence within the healthcare sector is consistently growing. However, the majority of deep learning-based AI systems are of a black box nature, causing these systems to suffer from a lack of transparency and credibility. D
Externí odkaz:
https://doaj.org/article/ef2684d6e9184340a3672a482b372c48
Publikováno v:
JID Innovations, Vol 1, Iss 3, Pp 100039- (2021)
Skin diseases are the most common human diseases and manifest in distinct structural and functional changes to skin tissue components such as basal cells, vasculature, and pigmentation. Although biopsy is the standard practice for skin disease diagno
Externí odkaz:
https://doaj.org/article/ae7928ca886c4596a6c442e67567fccc
Autor:
Tri Vu, Anthony DiSpirito, III, Daiwei Li, Zixuan Wang, Xiaoyi Zhu, Maomao Chen, Laiming Jiang, Dong Zhang, Jianwen Luo, Yu Shrike Zhang, Qifa Zhou, Roarke Horstmeyer, Junjie Yao
Publikováno v:
Photoacoustics, Vol 22, Iss , Pp 100266- (2021)
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser’s repetition rate, state-of-the-art high-speed PAM technology often sacrifices spatial sampling density (i.e., undersampling) for
Externí odkaz:
https://doaj.org/article/763de2d881a24418a4e32b57f9eb37ff
Publikováno v:
IEEE Access, Vol 7, Pp 77825-77838 (2019)
This paper proposes a novel hybrid underwater vehicle, the Smartfloat, which integrates the concept of buoyancy-driven underwater gliders and conventional profiling floats. The vehicle is presented to address the challenges in ocean monitoring, such
Externí odkaz:
https://doaj.org/article/136775a8c01148c884a68722324ece71
Autor:
Jinhu Huang, Jiale Ma, Kexin Shang, Xiao Hu, Yuan Liang, Daiwei Li, Zuowei Wu, Lei Dai, Li Chen, Liping Wang
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 6 (2016)
Streptococcus suis is a previously neglected, newly emerging multidrug-resistant zoonotic pathogen. Mobile genetic elements (MGEs) play a key role in intra- and interspecies horizontal transfer of antimicrobial resistance (AMR) determinants. Although
Externí odkaz:
https://doaj.org/article/cb33a7d5dc7f4d95b81cf614e5121186
Publikováno v:
Petroleum Science (KeAi Communications Co.); Jun2024, Vol. 21 Issue 3, p2154-2167, 14p
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:1396-1408
In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly fuzzy C-Means and vaguely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136b36740a01a7d7d8ec6ba8d7c1a6f7
https://doi.org/10.1109/tfuzz.2021.3058643
https://doi.org/10.1109/tfuzz.2021.3058643
Autor:
Junqin Chen, Daiwei Li, Wenjun Yu, Zhiteng Ma, Chenhang Li, Gaoming Xiang, Yuan Wu, Junjie Yao, Pei Zhong
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 17; Pages: 5048
To investigate the effects of fiber lateral scanning speed across the stone surface (vfiber) and fiber standoff distance (SD) on dusting efficiency during short pulse holmium (Ho): YAG laser lithotripsy (LL), pre-soaked BegoStone samples were treated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0cfd2386f1279781621f98ca9587775
https://pubmed.ncbi.nlm.nih.gov/36078979
https://pubmed.ncbi.nlm.nih.gov/36078979
Autor:
Junqin Chen, Daiwei Li, Wenjun Yu, Zhiteng Ma, Chenhang Li, Gaoming Xiang, Yuan Wu, Junjie Yao, Pei Zhong
ObjectivesTo investigate mechanistically the effects of fiber scanning speed (vfiber) and fiber tip-to-stone standoff distance (SD) on dusting efficiency during Holmium (Ho): YAG laser lithotripsy (LL)Materials and MethodsPre-soaked BegoStone samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5671e4d295fe1ed2508ee5a02ad2cc
https://doi.org/10.1101/2022.06.23.497382
https://doi.org/10.1101/2022.06.23.497382
