Decoding the microplastic crisis: Machine learning and deep learning in transforming data into ecological insight
- DOI
- 10.1016/j.marpolbul.2026.120378
- Published
- 2026-12
- Container
- Marine Pollution Bulletin
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.marpolbul.2026.120378,
title = {Decoding the microplastic crisis: Machine learning and deep learning in transforming data into ecological insight},
author = {Yoseop Lee and Jordan Jun Chul Park and Jiezhang Mo and Hyung Sik Kim and Jae-Seong Lee},
year = {2026},
journal = {Marine Pollution Bulletin},
doi = {10.1016/j.marpolbul.2026.120378},
url = {https://doi.org/10.1016/j.marpolbul.2026.120378}
}RIS
TY - JOUR TI - Decoding the microplastic crisis: Machine learning and deep learning in transforming data into ecological insight AU - Yoseop Lee AU - Jordan Jun Chul Park AU - Jiezhang Mo AU - Hyung Sik Kim AU - Jae-Seong Lee PY - 2026 JO - Marine Pollution Bulletin DO - 10.1016/j.marpolbul.2026.120378 UR - https://doi.org/10.1016/j.marpolbul.2026.120378 ER -
APA
Lee, Y., Park, J. J. C., Mo, J., Kim, H. S., & Lee, J. (2026). Decoding the microplastic crisis: Machine learning and deep learning in transforming data into ecological insight. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2026.120378
Source records
- crossref · retrieved 2026-09-25T14:24:12.131Z