no code implementations • 7 Jan 2022 • Hongyi Pan, Diaa Badawi, Ishaan Bassi, Sule Ozev, Ahmet Enis Cetin
We propose a kernel-PCA based method to detect anomaly in chemical sensors.
no code implementations • 12 Nov 2020 • Diaa Badawi, Agamyrat Agambayev, Sule Ozev, A. Enis Cetin
Our results show that we can have an accurate and smooth drift estimate even when the observed sensor signal is very noisy.
no code implementations • 20 Aug 2019 • Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin
Chemical and infra-red sensors generate distinct responses under similar conditions because of sensor drift, noise or resolution errors.