About this document
Drift-Robust Gas Classification Analysis by Vineet Rathi is a document available to read on EtoBox.
This document discusses the challenges of gas classification using metal-oxide (MOX) electronic-nose systems, particularly focusing on the impact of temporal drift on model performance. The study utilizes the UCI Gas Sensor Array Drift dataset to evaluate drift-robust classification methods, employing a time-aware evaluation approach across different batches. Results indicate that logistic regression without scaling performed best on future test data, highlighting the importance of addressing distribution s
- Author
- Vineet Rathi
- Language
- EN