Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …

Abstract Development in the field of gas sensors has witnessed exponential growth with
multitude of applications. The diverse applications have led to unexpected challenges …

The use of sensors in different applications to improve the monitoring of a process and its
variables is required as it enables information to be obtained directly from the process by …

Sensor drift is a significant challenge leading to performance degradation in electronic nose
(E-nose) systems. Effectively addressing sensor drift represents the most daunting problem …

Long term sensors drift is a challenging problem to solve for instruments like an Electronic
Nose System (ENS). These electronic instruments rely on Machine Learning (ML) algorithms …

Honey quality is a global concern since this product is highly susceptible to adulteration,
given its competitive price. As a reliable strategy for honey authenticity determination, this …

Damage classification is an important topic in the development of structural health
monitoring systems. When applied to wind-turbine foundations, it provides information about …

This paper assesses the over time performance of a custom electronic nose (eNose)
composed of an array of commercial low-cost and single-type miniature metal-oxide (MOX) …

Electronic nose is an electronic olfactory system that simulates the biological olfactory
mechanism, which mainly includes gas sensor, data pre-processing, and pattern …

Recently, convolutional neural networks (CNNs) have been used for the classification of
gases/odors. These methods involve statistical algorithms for drift compensation of sensor …