Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Synthetic training data"'
Autor:
Natascha Jeziorski, Claudia Redenbach
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible defect
Externí odkaz:
https://doaj.org/article/1d63fa5da74842179e971b0daf22cd1d
Autor:
Tobias Schadauer, Susanne Karel, Markus Loew, Ursula Knieling, Kevin Kopecky, Christoph Bauerhansl, Ambros Berger, Stephan Graeber, Lukas Winiwarter
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2887 (2024)
The accurate large-scale classification of tree species is crucial for the monitoring, protection, and management of the Earth’s invaluable forest ecosystems. Numerous previous studies have recognized the suitability of satellite imagery, particula
Externí odkaz:
https://doaj.org/article/a9b6d75262394c3e8263328a2d2b5fbc
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 742 (2024)
Automated Machine Learning (Auto-ML) has primarily been used to optimize network hyperparameters or post-processing parameters, while the most critical component for training a high-quality model, the dataset, is usually left untouched. In this paper
Externí odkaz:
https://doaj.org/article/e20823c0704042af988de152af7683d4
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 800 (2024)
Deep learning algorithms often struggle to accurately distinguish between healthy and anomalous states due to the scarcity of high-quality data in real-world applications. However, these data can be obtained through a physics-based simulation model.
Externí odkaz:
https://doaj.org/article/1f1aecae2ed748079ab5fc4cc3f6981f
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015006 (2024)
Crystalline defects, such as line-like dislocations, play an important role for the performance and reliability of many metallic devices. Their interaction and evolution still poses a multitude of open questions to materials science and materials phy
Externí odkaz:
https://doaj.org/article/8eef48ba80ed4330ad8a6a9da7cde065
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12316 (2023)
Additive manufacturing (AM) is becoming increasingly relevant among established manufacturing processes. AM parts must often be recognized to sort them for part- or order-specific post-processing. Typically, the part recognition is performed manually
Externí odkaz:
https://doaj.org/article/14f05d37c2804352bc31cde145895d49
Publikováno v:
Sensors, Vol 23, Iss 19, p 8277 (2023)
Building accurate acoustic subsurface velocity models is essential for successful industrial exploration projects. Traditional inversion methods from field-recorded seismograms struggle in regions with complex geology. While deep learning (DL) presen
Externí odkaz:
https://doaj.org/article/68892ce96ab84964acb2720bdd7c66fc
Akademický článek
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Akademický článek
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