Gas recognition in E-nose system: A review

H Chen, D Huo, J Zhang - IEEE transactions on biomedical …, 2022 - ieeexplore.ieee.org
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for
recognizing multivariate responses obtained by gas sensors in various applications. Over …

Odor-based molecular communications: State-of-the-art, vision, challenges, and frontier directions

D Aktas, BE Ortlek, M Civas, E Baradari… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Humankind mimics the processes and strategies that nature has perfected and uses them as
a model to address its problems. This has led to a new communication technology …

[HTML][HTML] Application of machine learning for fenceline monitoring of odor classes and concentrations at a wastewater treatment plant

F Cangialosi, E Bruno, G De Santis - Sensors, 2021 - mdpi.com
The development of low-cost sensors, the introduction of technical performance
specifications, and increasingly effective machine learning algorithms for managing big data …

An odor recognition algorithm of electronic noses based on convolutional spiking neural network for spoiled food identification

Y ** of spiking neural network to neuromorphic hardware for edge-AI
C **ao, J Chen, L Wang - Sensors, 2022 - mdpi.com
Neuromorphic hardware, the new generation of non-von Neumann computing system,
implements spiking neurons and synapses to spiking neural network (SNN)-based …

Instrumental odour monitoring system classification performance optimization by analysis of different pattern-recognition and feature extraction techniques

T Zarra, MGK Galang, FC Ballesteros Jr, V Belgiorno… - Sensors, 2020 - mdpi.com
Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for
which the primary application is the generation of odour metrics that are indicators of odour …