Manuel Aleixandre

TL;DR: In this article, the performances of several field calibration methods for low-cost sensors, including linear/multi linear regression and supervised learning techniques are compared, and the accuracy of the predicted values was evaluated for about five months using a few indicators and techniques: orthogonal regression, target diagram, measurement uncertainty and drifts over time of sensor predictions.

TL;DR: In this paper, the performances of several field calibration methods for low-cost sensors, including linear/multi linear regression and supervised learning techniques, are compared and the accuracy of each regression method was evaluated on a five months field experiment at a semi-rural site using different indicators and techniques.

TL;DR: An electronic nose based on metal oxide semiconductor thin-film sensors has been used to characterize and classify four types of red wines of the same variety of grapes which come from the same cellar and shows that electronic nose was able to identify the above wine well.

TL;DR: In this paper, carbon nanotube (CNT) materials were investigated as resistive gas sensors for NO 2 detection, and it was shown that the measured sensitivity upon exposure to NO 2 strongly depends on the employed CNT material.

TL;DR: This work reviews the literature on commercial sensors for ambient gas measurements over a hundred commercial sensors and compares their performance with the specifications of the European Directive on air quality 2008/50/EC.