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Data Science & Engineering into Food Science: A novel Big Data Platform for Low Molecular Weight Gelators' Behavioral Analysis
2020
Journal of Computer Science and Technology
The objective of this article is to introduce a comprehensiveend-to-end solution aimed at enabling the applicationof state-of-the-art Data Science and Analyticmethodologies to a food science related problem. Theproblem refers to the automation of load, homogenization,complex processing and real-time accessibility tolow molecular-weight gelators (LMWGs) data to gaininsights into their assembly behavior, i.e. whether agel can be mixed with an appropriate solvent or not.Most of the work within the
doi:10.24215/16666038.20.e08
fatcat:czzthsjefrf33b34ouqgltsu7a