Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine-Reference-Cited by-同舟云学术

Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine

Published:2022-09-12 Issue:6 Volume:135 Page:3155-3171
ISSN:1878-5190
Container-title:Reaction Kinetics, Mechanisms and Catalysis
language:en
Short-container-title:Reac Kinet Mech Cat

Author:

De Farias Silva Carlos Eduardo^ORCID,Costa Giselly Yanara Silva Canuto Mendes,Ferro João Victor,de Oliveira Carvalho Frede^ORCID,da Gama Brígida Maria Villar^ORCID,Meili Lucas^ORCID,dos Santos Silva Margarete Cabral,Almeida Renata Maria Rosas Garcia,Tonholo Josealdo^ORCID

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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