AIMC Topic: Viscosity
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Visual perception of liquids: Insights from deep neural networks.
PLoS computational biology
Aug 19, 2020
Visually inferring material properties is crucial for many tasks, yet poses significant computational challenges for biological vision. Liquids and gels are particularly challenging due to their extreme variability and complex behaviour. We reasoned ...
Modeling, design, and machine learning-based framework for optimal injectability of microparticle-based drug formulations.
Science advances
Jul 8, 2020
Inefficient injection of microparticles through conventional hypodermic needles can impose serious challenges on clinical translation of biopharmaceutical drugs and microparticle-based drug formulations. This study aims to determine the important fac...
A New Machine-Learning Tool for Fast Estimation of Liquid Viscosity. Application to Cosmetic Oils.
Journal of chemical information and modeling
Apr 13, 2020
The viscosities of pure liquids are estimated at 25 °C, from their molecular structures, using three modeling approaches: group contributions, COSMO-RS σ-moment-based neural networks, and graph machines. The last two are machine-learning methods, whe...
Viscosity Prediction of Lubricants by a General Feed-Forward Neural Network.
Journal of chemical information and modeling
Mar 2, 2020
Modern industrial lubricants are often blended with an assortment of chemical additives to improve the performance of the base stock. Machine learning-based predictive models allow fast and veracious derivation of material properties and facilitate n...
Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network.
Food research international (Ottawa, Ont.)
Mar 25, 2019
The expected increase of global obesity prevalence makes it necessary to have information about the effects of meal intakes on the feeling of appetite. Because human clinical studies are time and cost intensive, there is a need for a reliable alterna...
Guava flavored whey-beverage processed by cold plasma: Physical characteristics, thermal behavior and microstructure.
Food research international (Ottawa, Ont.)
Oct 9, 2018
The present study aimed to compare the physicochemical (pH), physical (rheology parameters and particle size), microstructure (optical microscopy) and thermal properties (differential scanning calorimetry) of guava flavored whey-beverages submitted t...
What kind of coffee do you drink? An investigation on effects of eight different extraction methods.
Food research international (Ottawa, Ont.)
Oct 9, 2018
The chemical composition of brewed coffee depends on numerous factors: the beans, post-harvest processing and, finally, the extraction method. In recent decades, numerous coffee-based beverages, obtained using different extraction techniques have ent...
Physicochemical characterization of an arabinoxylan-rich fraction from brewers' spent grain and its application as a release matrix for caffeine.
Food research international (Ottawa, Ont.)
Sep 18, 2018
The brewers' spent grain is a by-product generated during brewery process and is a potential source for arabinoxylans (AX) extraction. In the present work, the extraction and characterization of an arabinoxylan-rich fraction from brewers' spent grain...
Assessment of Beer Quality Based on a Robotic Pourer, Computer Vision, and Machine Learning Algorithms Using Commercial Beers.
Journal of food science
Mar 30, 2018
UNLABELLED: Sensory attributes of beer are directly linked to perceived foam-related parameters and beer color. The aim of this study was to develop an objective predictive model using machine learning modeling to assess the intensity levels of senso...
Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.
IEEE transactions on bio-medical engineering
Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
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