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Signal Processing Methods to Interpret Polychlorinated Biphenyls in Airborne Samples
The main contribution of this interdisciplinary work is a robust computational framework to autonomously discover and quantify previously unknown associations between well-known (target) and potentially unknown (non-target) toxic industrial air pollutants. In this work, the variability of polychlori...
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| Pubblicato in: | IEEE Access |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7742762/ https://ncbi.nlm.nih.gov/pubmed/33335823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2020.3013108 |
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