Data Science & Engineering into Food Science: A novel Big Data Platform for Low Molecular Weight Gelators’ Behavioral Analysis

The objective of this article is to introduce a comprehensive end-to-end solution aimed at enabling the application of state-of-the-art Data Science and Analytic methodologies to a food science related problem. The problem refers to the automation of load, homogenization, complex processing and real...

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Detalles Bibliográficos
Autores principales: Cuello, Verónica, Corradini, María G., Rogers, Michael, Zarza, Gonzalo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Big data
Data science
Food science
Colloidal science
Self assembly
Low molecular weight gelators
Ciencia de datos
Ciencia de los alimentos
Coloides
Auto-ensamblado
Gelantes de bajo peso molecular
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/108001
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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