Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel-Reference-Cited by-同舟云学术

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Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel

Published:2024-06 Issue: Volume:87 Page:101583
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Eslami Faezeh,Kamali Reza^ORCID

Publisher

Elsevier BV

Reference81 articles.

1. The effect of oil viscosity on droplet generation rate and droplet size in a T-junction microfluidic droplet generator;Yao;Micromachines (Basel),2019

2. Chemical and biological dynamics using droplet-based microfluidics;Dressler;Ann. Rev. Anal. Chem.,2017

3. Generation of egg white/carrageenan microparticles by droplet-based microfluidics;Marengo;J. Food Eng.,2019

4. In Situ X-ray absorption spectroscopy and droplet-based microfluidics: an analysis of calcium carbonate precipitation;Probst;ACS. Meas. Sci. Au,2021

5. Monodisperse non-Newtonian micro-droplet generation in a co-flow device;Taassob;J. Braz. Soc. Mech. Sci. Eng.,2017

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