3 papers
eess.SP2020
Discrete Cosine Transform Based Causal Convolutional Neural Network for Drift Compensation in Chemical Sensors
Diaa Badawi, Agamyrat Agambayev, Sule Ozev +1
Sensor drift is a major problem in chemical sensors that requires addressing for reliable and accurate detection of chemical analytes. In this paper, we develop a causal convolutio…
eess.SP2019
Detecting Gas Vapor Leaks Using Uncalibrated Sensors
Diaa Badawi, Tuba Ayhan, Sule Ozev +3
Chemical and infra-red sensors generate distinct responses under similar conditions because of sensor drift, noise or resolution errors. In this work, we use different time-series…
eess.SP2019
An In-Field Programmable Adaptive CMOS LNA for Intelligent IOT Sensor Node Applications
Maryam Shafiee, Sule Ozev
As the Internet of Things (IOT) is growing rapidly, there is an emerging need to facilitate development of IOT devices in the design cycle while optimized performance is obtained i…