Cargando…
An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation
A lightweight on-device liquid consumption estimation system involving an energy-aware machine learning algorithm is developed in this work. This system consists of two separate on-device neural network models that carry out liquid consumption estimation with the result of two tasks: the detection o...
Autores principales: | Roy, Avirup, Dutta, Hrishikesh, Griffith, Henry, Biswas, Subir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003493/ https://www.ncbi.nlm.nih.gov/pubmed/35408129 http://dx.doi.org/10.3390/s22072514 |
Ejemplares similares
-
Bottled Water: United States Consumers and Their Perceptions of Water Quality
por: Hu, Zhihua, et al.
Publicado: (2011) -
Fluoride Intake through Consumption of Tap Water and Bottled Water in Belgium
por: Vandevijvere, Stefanie, et al.
Publicado: (2009) -
Natural Radionuclides
in Bottled Mineral Waters Consumed
in Turkey and Their Contribution to Radiation Dose
por: Altıkulaç, Aydan, et al.
Publicado: (2022) -
Assessment of Radiation Dose from the Consumption of Bottled Drinking Water in Japan
por: Kinahan, Aoife, et al.
Publicado: (2020) -
The Price of Bottled Water
por: Potera, C
Publicado: (2002)