ARTICLE MACHINE LEARNING SOURCE DE POLLUTION

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Date

13 mai 2023

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BREATHE

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Ce document est lié à :
info:eu-repo/semantics/reference/issn/2781-1476

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OpenEdition


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Learning, Machine

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Lionel Scotto d'Apollonia, « ARTICLE MACHINE LEARNING SOURCE DE POLLUTION », BREATHE, ID : 10670/1.bffnua


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A supervised machine learning approach to classify traffic-derived PM sources based on their magnetic properties. Environmental Research 231 (2023) 116006 ABSTRACT Environmental magnetism techniques are increasingly used to map the deposition of particulate pollutants on any type of accumulative surfaces. The present study is part of a collective effort that begun in recent years to evaluate the efficiency of these techniques involving a large range of measurements to trace the source signals...

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