Aerosol characterization on noisy surfaces by deep-learning methods

Authors

J. Malet (ORCID: https://orcid.org/0000-0002-5853-1694)
Samy Blusseau (ORCID: https://orcid.org/0000-0003-0294-8172)
Philippe Querre
Santiago Velasco-Forero (ORCID: https://orcid.org/0000-0002-2438-1747)
Simon Papine-Paktoris

Institutions

École Nationale Supérieure des Mines de Paris (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-08-25
Primary Topic: Air Quality Monitoring and Forecasting
Type: article
Field-Weighted Citation Impact: 0.00

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article

Aerosol characterization on noisy surfaces by deep-learning methods

J. Malet, Samy Blusseau, Philippe Querre, Santiago Velasco-Forero et al.

Aug 25, 2024

SPIRE - Sciences Po Institutional REpository

Air Quality Monitoring and Forecasting

article

Aerosol characterization on noisy surfaces by deep-learning methods

J. Malet, Samy Blusseau, Philippe Querre, Santiago Velasco-Forero, Simon Papine-Paktoris

August 25, 2024article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

École Nationale Supérieure des Mines de Paris (FR)

Climate action

Openalex Percentile: Top 78%

Air Quality Monitoring and Forecasting

Open Access PDF OpenAlex

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Aerosol characterization on noisy surfaces by deep-learning methods — J. Malet, Samy Blusseau, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS