Characterization and source apportionment of single particles from metalworking activities
Author:
Funder
Agence Nationale de la Recherche
Publisher
Elsevier BV
Subject
Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine
Reference77 articles.
1. PM10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone;Alleman;Atmos. Res.,2010
2. Scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDX) and aerosol time-of-flight mass spectrometry (ATOFMS) single particle analysis of metallurgy plant emissions;Arndt;Environ. Pollut.,2016
3. Sources and mixing state of summertime background aerosol in the north-western Mediterranean basin;Arndt;Atmos. Chem. Phys.,2017
4. Impact of emissions from the Los Angeles port region on san diego air quality during regional transport events;Ault;Environ. Sci. Technol.,2009
5. Characterization of the single particle mixing state of individual ship plume events measured at the port of Los Angeles;Ault;Environ. Sci. Technol.,2010
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Fuzzy Convolutional Neural Network for the Classification of Aerosol Particle Mass Spectral Patterns Generated by Single-Particle Mass Spectrometry;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Rapid Classification Of Aerosol Particle Mass Spectra Using Data Augmentation And Deep Learning;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
3. CNN-Based Aerosol Particle Classification Using 2D Representations of Single-Particle Mass Spectrometer Data;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19
4. Machine learning approaches for automatic classification of single-particle mass spectrometry data;Atmospheric Measurement Techniques;2024-01-16
5. 1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry;IEEE Sensors Letters;2023-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3