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pro vyhledávání: '"Tarini Naravane"'
Autor:
Damion Dooley, Tarini Naravane
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The computational modeling of food processing, aimed at various applications including industrial automation, robotics, food safety, preservation, energy conservation, and recipe nutrition estimation, has been ongoing for decades within food science
Externí odkaz:
https://doaj.org/article/6cd9bd1cbbbc4383b22a8b1ab776f160
Autor:
Tarini Naravane, Ilias Tagkopoulos
Publikováno v:
Current Research in Food Science, Vol 6, Iss , Pp 100500- (2023)
The information on nutritional profile of cooked foods is important to both food manufacturers and consumers, and a major challenge to obtaining precise information is the inherent variation in composition across biological samples of any given raw i
Externí odkaz:
https://doaj.org/article/dd5bdad504bd4a9b849c493f0f0e17ae
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Food ontologies require significant effort to create and maintain as they involve manual and time-consuming tasks, often with limited alignment to the underlying food science knowledge. We propose a semi-supervised framework for the automated ontolog
Externí odkaz:
https://doaj.org/article/187e3961638f40ab893a62b57b063b38
Autor:
Tarini Naravane, Ilias Tagkopoulos
The future of personalized health relies on knowledge of dietary composition. The current analytical methods are impractical to scale up, and the computational methods are inadequate. We propose machine learning models to predict the nutritional prof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b00c229838c80990a3ae7734692fd92
https://doi.org/10.1101/2022.09.28.509827
https://doi.org/10.1101/2022.09.28.509827