When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry

Yufeng Jane Tseng; Pei-Jiun Chuang; Michael Appell

doi:10.1021/acsomega.2c07722

journal article Open Access Apr 25, 2023

When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry

Yufeng Jane Tseng

Pei-Jiun Chuang Michael Appell

ACS Omega Vol. 8 No. 18 pp. 15854-15864 · American Chemical Society (ACS)

View at Publisher Save 10.1021/acsomega.2c07722

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References

Details

Published: Apr 25, 2023
Vol/Issue: 8(18)
Pages: 15854-15864
License: View

Authors

Y

Yufeng Jane Tseng

Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Roosevelt Rd. Sec. 4, Taipei 10617, Taiwan

P

Pei-Jiun Chuang

Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Roosevelt Rd. Sec. 4, Taipei 10617, Taiwan

M

Michael Appell

USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, 1815 N. University, Peoria, Illinois. 61604, United States

Funding

Ministry of Science and Technology, Taiwan Award: MOST 110-2320-B-002-038-

Food and Drug Administration Award: MOHW111-FDA-D-114-000611

Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan Award: 110A022

Cite This Article

Yufeng Jane Tseng, Pei-Jiun Chuang, Michael Appell (2023). When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry. ACS Omega, 8(18), 15854-15864. https://doi.org/10.1021/acsomega.2c07722

When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry

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