A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market
- DOI
- 10.1371/journal.pone.0275290
- Published
- 2022-09-29
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0275290,
title = {A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market},
author = {Nguyen Minh Khiem and Yuki Takahashi and Hiroki Yasuma and Khuu Thi Phuong Dong and Tran Ngoc Hai and Nobuo Kimura},
year = {2022},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0275290},
url = {https://doi.org/10.1371/journal.pone.0275290}
}RIS
TY - JOUR TI - A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market AU - Nguyen Minh Khiem AU - Yuki Takahashi AU - Hiroki Yasuma AU - Khuu Thi Phuong Dong AU - Tran Ngoc Hai AU - Nobuo Kimura PY - 2022 JO - PLOS ONE DO - 10.1371/journal.pone.0275290 UR - https://doi.org/10.1371/journal.pone.0275290 ER -
APA
Khiem, N. M., Takahashi, Y., Yasuma, H., Dong, K. T. P., Hai, T. N., & Kimura, N. (2022). A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market. PLOS ONE. https://doi.org/10.1371/journal.pone.0275290
Source records
- crossref · retrieved 2026-09-26T13:11:52.354Z