Gas recognition in E-nose system: A review
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 …
recognizing multivariate responses obtained by gas sensors in various applications. Over …
Event-based sensing and signal processing in the visual, auditory, and olfactory domain: a review
MH Tayarani-Najaran, M Schmuker - Frontiers in Neural Circuits, 2021 - frontiersin.org
The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …
trains of events that are then processed in the brain. The unmatched efficiency in information …
Artificial olfactory neuron for an in‐sensor neuromorphic nose
A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a
chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single …
chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single …
Rapid online learning and robust recall in a neuromorphic olfactory circuit
N Imam, TA Cleland - Nature Machine Intelligence, 2020 - nature.com
We present a neural algorithm for the rapid online learning and identification of odourant
samples under noise, based on the architecture of the mammalian olfactory bulb and …
samples under noise, based on the architecture of the mammalian olfactory bulb and …
Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
A method for online decorrelation of chemical sensor signals from the effects of
environmental humidity and temperature variations is proposed. The goal is to improve the …
environmental humidity and temperature variations is proposed. The goal is to improve the …
Bio-inspired strategies for improving the selectivity and sensitivity of artificial noses: A review
Artificial noses are broad-spectrum multisensors dedicated to the detection of volatile
organic compounds (VOCs). Despite great recent progress, they still suffer from a lack of …
organic compounds (VOCs). Despite great recent progress, they still suffer from a lack of …
Recognition and sensing of organic compounds using analytical methods, chemical sensors, and pattern recognition approaches
SK Jha, RDS Yadava, K Hayashi, N Patel - Chemometrics and Intelligent …, 2019 - Elsevier
Currently, the development of smart systems for recognition and sensing of volatile organic
compounds (VOCs) in medical, agricultural, biometric, security and safety, applications is an …
compounds (VOCs) in medical, agricultural, biometric, security and safety, applications is an …
A hardware-deployable neuromorphic solution for encoding and classification of electronic nose data
In several application domains, electronic nose systems employing conventional data
processing approaches incur substantial power and computational costs and limitations …
processing approaches incur substantial power and computational costs and limitations …
An investigation into spike-based neuromorphic approaches for artificial olfactory systems
The implementation of neuromorphic methods has delivered promising results for vision and
auditory sensors. These methods focus on mimicking the neuro-biological architecture to …
auditory sensors. These methods focus on mimicking the neuro-biological architecture to …
High-dimensional time series feature extraction for low-cost machine olfaction
The complexity of airborne odors offers interesting challenges and opportunities for
chemical detection and identification. Biological olfactory systems have evolved to extract …
chemical detection and identification. Biological olfactory systems have evolved to extract …