Integrating Self-Organizing Maps, Positive Matrix Factorization and Time-Series Decomposition for Urban Air Pollution Source Apportionment: A Comparative Study of Bulgarian Cities.
- DOI
- 10.3390/molecules31101725
- Published
- 2026 May 19
- Container
- Molecules (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/molecules31101725,
title = {Integrating Self-Organizing Maps, Positive Matrix Factorization and Time-Series Decomposition for Urban Air Pollution Source Apportionment: A Comparative Study of Bulgarian Cities.},
author = {Fornasaro S and Barbieri P and Dimitrova R and Licen S and Tsakovski S},
year = {2026},
journal = {Molecules (Basel, Switzerland)},
doi = {10.3390/molecules31101725},
url = {https://doi.org/10.3390/molecules31101725}
}RIS
TY - JOUR TI - Integrating Self-Organizing Maps, Positive Matrix Factorization and Time-Series Decomposition for Urban Air Pollution Source Apportionment: A Comparative Study of Bulgarian Cities. AU - Fornasaro S AU - Barbieri P AU - Dimitrova R AU - Licen S AU - Tsakovski S PY - 2026 JO - Molecules (Basel, Switzerland) DO - 10.3390/molecules31101725 UR - https://doi.org/10.3390/molecules31101725 ER -
APA
S, F., P, B., R, D., S, L., & S, T. (2026). Integrating Self-Organizing Maps, Positive Matrix Factorization and Time-Series Decomposition for Urban Air Pollution Source Apportionment: A Comparative Study of Bulgarian Cities.. Molecules (Basel, Switzerland). https://doi.org/10.3390/molecules31101725
Source records
- pubmed · retrieved 2026-09-27T10:56:58.120Z