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Aerosol characterization on noisy surfaces by deep-learning methods
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Year:
2024
Type:
conference-paper
Abstract:
International audience
Source:
HAL (Le Centre pour la Communication Scientifique Directe)
Authors:
Malet, Jeanne,
Querre, Philippe,
Papine-Paktoris, Simon,
Blusseau, Samy,
Velasco-Forero, Santiago
Institutions:
Institut de Radioprotection et de Sûreté Nucléaire,
ESPCI Paris,
Centre de Morphologie Mathématique - CMM,
École Nationale Supérieure des Mines de Paris
Language:
English
Topic:
Image and Signal Denoising Methods
Subfield:
Computer Vision and Pattern Recognition
Field:
Computer Science
Domain:
Physical Sciences
Open Access status:
green
OpenAlex ID:
W4406352028
FWCI:
Cites:
Cited by:
Related to:
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