Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Catalysis
Link
https://link.springer.com/content/pdf/10.1007/s11144-022-02293-9.pdf
Reference79 articles.
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3. Karina T (2017) Estudo decifra mistério das algas que invadiram o Brasil. https://exame.com/ciencia/estudo-decifra-misterio-das-algas-que-invadiram-o-brasil/#:~:text=Embora%20as%20algas%20do%20g%C3%AAnero,o%20banho%20de%20mar%20invi%C3%A1vel. Accessed 07 Sept 2021
4. Trinanes J, Putman NF, Goni G et al (2021) Monitoring pelagic Sargassum inundation potential for coastal communities. J Oper Oceanogr 1:1–12. https://doi.org/10.1080/1755876X.2021.1902682
5. Bonilla-Loaiza AM, Rodríguez-Jasso RM, Belmares R et al (2022) Fungal Proteins from Sargassum spp. using solid-state fermentation as a green bioprocess strategy. Molecules 27(12):3887. https://doi.org/10.3390/molecules27123887
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