Principles of odor coding in vertebrates and artificial chemosensory systems
I Manzini, D Schild, C Di Natale - Physiological reviews, 2022 - journals.physiology.org
The biological olfactory system is the sensory system responsible for the detection of the
chemical composition of the environment. Several attempts to mimic biological olfactory …
chemical composition of the environment. Several attempts to mimic biological olfactory …
Machine learning-enabled internet of things (iot): Data, applications, and industry perspective
J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
Unsupervised feature based algorithms for time series extrinsic regression
Abstract Time Series Extrinsic Regression (TSER) involves using a set of training time series
to form a predictive model of a continuous response variable that is not directly related to the …
to form a predictive model of a continuous response variable that is not directly related to the …
Reservoir computing and photoelectrochemical sensors: A marriage of convenience
Sensing technology is an important aspect of information processing. Current development
in artificial intelligence systems (especially those aimed at medical and environmental …
in artificial intelligence systems (especially those aimed at medical and environmental …
Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks
Metal oxide (MOx) gas sensors are a popular choice for many applications, due to their
tunable sensitivity, space efficiency and low cost. Publicly available sensor datasets are …
tunable sensitivity, space efficiency and low cost. Publicly available sensor datasets are …
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 …
Methodology for estimating ethanol concentration with artificial intelligence in the presence of interfering gases and measurement delay
Gas concentration detection is a vital aspect of environmental monitoring, industrial safety,
and various other applications. Metal Oxide (MOX) sensors have gained considerable …
and various other applications. Metal Oxide (MOX) sensors have gained considerable …
Sniffing speeds up chemical detection by controlling air-flows near sensors
Most mammals sniff to detect odors, but little is known how the periodic inhale and exhale
that make up a sniff helps to improve odor detection. In this combined experimental and …
that make up a sniff helps to improve odor detection. In this combined experimental and …
Sniffing Like a Wine Taster: Multiple Overlapping Sniffs (MOSS) Strategy Enhances Electronic Nose Odor Recognition Capability
As highly promising devices for odor recognition, current electronic noses are still not
comparable to human olfaction due to the significant disparity in the number of gas sensors …
comparable to human olfaction due to the significant disparity in the number of gas sensors …
[PDF][PDF] A novel principal component-based virtual sensor approach for efficient classification of gases/odors
High-performance detection and estimation of gases/odors are challenging, especially in
real-time gas sensing applications. Recently, efficient electronic noses (e-noses) are being …
real-time gas sensing applications. Recently, efficient electronic noses (e-noses) are being …