Zobrazeno 1 - 10
of 1 482
pro vyhledávání: '"Co-training"'
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-16 (2024)
Abstract Against the backdrop of the deep integration of culture and technology, research and practice in digitization of intangible cultural heritage has continued to deepen. However, due to the lack of data and training, it is still very difficult
Externí odkaz:
https://doaj.org/article/8d9ef5070f1a4a78b43d62948eed7179
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33332- (2024)
Particulate matter (PM) is defined by the Texas Commission on Environmental Quality (TCEQ) as “a mixture of solid particles and liquid droplets found in the air”. These particles vary widely in size. Those particles that are less than 2.5 μm in
Externí odkaz:
https://doaj.org/article/418ccdc4a46b4226bb6c89749911ee14
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 43, Iss 6, Pp 704-711 (2023)
In order to overcome the dilemma of insufficient effective sample number for subsurface microcrack depth in the lapping of brittle materials with fixed abrasives and achieve accurate prediction, a co-training SVR was used to construct the prediction
Externí odkaz:
https://doaj.org/article/d322500ea4e7441bbd4f88db9bdeb5db
Akademický článek
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Autor:
Xin Zhao, Wenqi Wang
Publikováno v:
Journal of Imaging, Vol 10, Iss 5, p 118 (2024)
In the realm of medical image analysis, the cost associated with acquiring accurately labeled data is prohibitively high. To address the issue of label scarcity, semi-supervised learning methods are employed, utilizing unlabeled data alongside a limi
Externí odkaz:
https://doaj.org/article/2d77960ea7524b7a86919c34eb71a54b
Publikováno v:
Entropy, Vol 26, Iss 4, p 328 (2024)
Automatic crack segmentation plays an essential role in maintaining the structural health of buildings and infrastructure. Despite the success in fully supervised crack segmentation, the costly pixel-level annotation restricts its application, leadin
Externí odkaz:
https://doaj.org/article/7e8fa0f0a2574b35879595a6b5ae14bf
Autor:
Cesar Gonzalez Fernandez, Isaac Martin De Diego, Alberto Fernandez-Isabel, Juan Fernando Jimenez Viseu, Adrian Alonso Barriuso
Publikováno v:
IEEE Access, Vol 11, Pp 142464-142477 (2023)
The rapid spread of biased information and disinformation has intensified in recent times due to the increased reliance on the Internet and social media platforms as primary sources of information. This issue is of particular concern in the fields of
Externí odkaz:
https://doaj.org/article/f3065a4616bf40f0b92c34c28ddee1c0
Publikováno v:
Sensors, Vol 24, Iss 7, p 2073 (2024)
For decades, soft sensors have been extensively renowned for their efficiency in real-time tracking of expensive variables for advanced process control. However, despite the diverse efforts lavished on enhancing their models, the issue of label spars
Externí odkaz:
https://doaj.org/article/cf9ab05f5e9b4af09f23e449e0f8d44b
Akademický článek
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Akademický článek
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