6 citations · 21 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
Deep Layered LMS Predictor
Lubna Shibly Mokatren, Ahmet Enis Cetin, Rashid Ansari
In this study, we present a new approach to design a Least Mean Squares (LMS) predictor. This approach exploits the concept of deep neural networks and their supremacy in terms of…
EEG Classification by factoring in Sensor Configuration
Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin +4
Electroencephalography (EEG) serves as an effective diagnostic tool for mental disorders and neurological abnormalities. Enhanced analysis and classification of EEG signals can hel…