This paper gives a review of the recent developments in deep learning and unsupervised
feature learning for time-series problems. While these techniques have shown promise for …

This article extensively reviews the recent development of semiconductor metal oxide gas
sensors for environmentally hazardous gases including NO2, NO, N2O, H2S, CO, NH3 …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Breath sensors can revolutionize medical diagnostics by on-demand detection and
monitoring of health parameters in a noninvasive and personalized fashion. Despite …

The detection of pests and diseases is very important for agricultural production. Every year,
the economic loss caused by pest infestation is enormous. The traditional methods of …

The paper presents principle of operation and design of the most popular chemical sensors
for measurement of volatile organic compounds (VOCs) in outdoor and indoor air. It …

Solid state gas sensors are a core enabling technology to a range of measurement
applications including industrial, safety, and environmental monitoring. The technology …

The paper critically reviews the state of the art in the field of experimental techniques
possible to be applied to the study of conductometric gas sensors based on semiconducting …

With the advances in electronic and information technologies, various sensing systems have
been developed for specialty crop production around the world. Accurate information …

Electronic nose (e-nose) has emerged as a potential instrument in various areas of food
safety assessment for rapid early detection of contamination and defect in food production …