Microfluidic droplet classification through tuned convolutional neural network on a resource constrained platform
author
Afrin, Fariha
Le Moullec, Yannick
Pardy, Tamas
statement of authorship
Fariha Afrin, Yannick Le Moullec, Tamas Pardy
source
2024 19th Biennial Baltic Electronics Conference (BEC)
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2024
pages
4 p
conference name, date
19th Biennial Baltic Electronics Conference (BEC2024), October 2-4 2024
conference location
Tallinn, Estonia
url
https://doi.org/10.1109/BEC61458.2024.10737958
subject term
mikrovedelikundus
närvisüsteem
voolised
Scopus
https://www.scopus.com/sourceid/21100228125
https://www.scopus.com/pages/publications/85210599701?inward
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001411745600018
quartile
Q4
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
keyword
droplets
droplet classification
neural networks
resource constrained platform
single board computer
ISSN
1736-3705
ISBN
979-8-3503-6511-5
notes
Bibliogr.: 14 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise