3 papers
cs.LG2025
Variational Autoencoder for Calibration: A New Approach
Travis Barrett, Amit Kumar Mishra, Joyce Mwangama
In this paper we present a new implementation of a Variational Autoencoder (VAE) for the calibration of sensors. We propose that the VAE can be used to calibrate sensor data by tra…
eess.SP2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Travis Barrett, Amit Kumar Mishra
In this paper we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibrati…
eess.SY2025
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point
Travis Barrett, Amit Kumar Mishra
In this paper, we describe the design of an inexpensive and agile climate sensor system which can be repurposed easily to measure various pollutants. We also propose the use of mac…