Recent advances in miniaturization of chemical instrumentation and in low-cost small
drones are catalyzing exponential growth in the use of such platforms for environmental …

Electronic noses, or e-noses, refer to systems powered by chemical gas sensors, signal
processing, and machine learning algorithms for realizing artificial olfaction. They play a …

With the rampant drug crime, the detection of drug-producing chemicals has put forward the
great demand of multi-type and multi-concentration on-line rapid detection. The rapid …

The human olfactory system remains one of the most challenging biological systems to
replicate. Humans use it without thinking, where it can measure offer protection from harm …

This paper describes the development and validation of the currently smallest aerial platform
with olfaction capabilities. The developed Smelling Nano Aerial Vehicle (SNAV) is based on …

To solve the problem of high time consumption and energy loss of edge computing
perceptual task offloading in the mobile IoT (Internet of things), it is necessary to increase the …

Abstract Development of new signal processing approaches is essential for improvement of
the reliability of metal oxide gas sensor performance in real atmospheric conditions …

Mobile applications based on gas sensing present new opportunities for low-cost air quality
monitoring, safety, and healthcare. Metal oxide semiconductor (MOX) gas sensors represent …

Nowadays, the electronic nose (e-nose) has gained a huge amount of attention due to its
ability to detect and differentiate mixtures of various gases and odors using a limited number …

Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful
inference capabilities for real-time applications such as IoT, robotics, and human-machine …