Graphene-Based Sensor Data Analytics

This workshop focuses on advanced data analytics techniques for graphene-based Surface Acoustic Wave (SAW) gas sensors. Participants will learn signal preprocessing methods like noise filtering and drift correction, followed by anomaly detection using autoencoders for identifying sensor faults. The workshop also covers transfer learning for adapting models to new gas analytes, providing hands-on experience in enhancing sensor performance and developing real-time, adaptive sensor systems for various applications.