Product Design Laboratory (PDL)
The Arctic University of Norway
Tromsø, NoruegaPublicaciones en colaboración con investigadoras/es de The Arctic University of Norway (10)
2022
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Antioxidant Activities and Selenogene Transcription in the European Sea Bass (Dicentrarchus labrax) Liver Depend, in a Non-linear Manner, on the Se/Hg Molar Ratio of the Feeds
Biological Trace Element Research, Vol. 200, Núm. 5, pp. 2365-2379
2018
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Reducing the number of individuals to monitor shoaling fish systems - Application of the Shannon entropy to construct a biological warning system model
Frontiers in Physiology, Vol. 9, Núm. MAY
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The shannon entropy trend of a fish system estimated by a machine vision approach seems to reflect the molar Se: Hg ratio of its feed
Entropy, Vol. 20, Núm. 2
2017
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Shannon entropy of a european seabass (Dicentrarchus labrax) system in response to feed polluted with different concentrations of MeHg: A machine vision approach
2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings
2016
2015
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A paradigm shift in safe seafood production: From contaminant detection to fish monitoring - Application of biological warning systems to aquaculture
Trends in Food Science and Technology
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Evolution of Shannon entropy in a fish system (European seabass, Dicentrarchus labrax) during the recuperation period after exposure to methylmercury
IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings
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Proteomics: Contribution of Proteomics Techniques to Understanding the Interrelationship between Food and Health
Encyclopedia of Food and Health (Elsevier Inc.), pp. 554-560
2014
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Application of entropy and fractal dimension analyses to the pattern recognition of contaminated fish responses in aquaculture
Entropy, Vol. 16, Núm. 11, pp. 6133-6151
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Discrimination of contaminated fish responses by fractal dimension and entropy algorithms
2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings