Oct. 13, 2022, 1:12 a.m. | Mengxi Liu, Sizhen Bian, Bo Zhou, Agnes Grünerbl, Paul Lukowicz

cs.LG updates on arXiv.org arxiv.org

This paper presents a novel beverage intake monitoring system that can
accurately recognize beverage kinds and freshness. By mounting carbon
electrodes on the commercial cup, the system measures the electrochemical
impedance spectrum of the fluid in the cup. We studied the frequency
sensitivity of the electrochemical impedance spectrum regarding distinct
beverages and the importance of features like amplitude, phase, and real and
imaginary components for beverage classification. The results show that
features from a low-frequency domain (100 Hz to 1000 …

arxiv beverages classification detection monitoring sensing smart

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Machine Learning Engineer (m/f/d)

@ StepStone Group | Düsseldorf, Germany

2024 GDIA AI/ML Scientist - Supplemental

@ Ford Motor Company | United States