In this paper, a microwave sensor with a meandered microstrip structure is introduced to
measure the permittivity of the various liquids. The performance of the sensor is based on …

Ice detection has developed into an integral part of aerospace and wind turbine sectors with
the aim of preventing hazards and component breakdown. This article presents an ice …

The usage of techniques of the artificial neural networks (ANNs) in the field of microwave
devices has recently increased. The advantages of ANNs in comparison with traditional full …

Microwave sensors are principally sensitive to effective permittivity, and hence not selective
to a specific material under test (MUT). In this work, a highly compact microwave planar …

Water and moisture sensing are becoming essential features measured in clean energy and
transportation applications. In this study, we develop sensors with the ability to detect …

Cell dielectric property measurement holds significant potential for application in cell
detection and diagnosis due to its label-free and noninvasive nature. In this study, we …

Due to their moderate sensitivity, extremely cheap cost, ease of fabrication method, and,
more crucially, the fact that they are non-invasive, planar microwave sensors have attracted …

Accurately assessing dehydration is crucial in many diverse clinical applications and the
sports industry. Currently used methods for assessing dehydration rely on either skin pinch …

Neural networks are enhancing modern day sensors and results for classification and real
time monitoring. The complexity of neural networks are enabling the future for image …

In this article, a high-accuracy blood glucose detection sensor, consisting of a novel tunable
bandpass filter (TBPF) and artificial neural networks (ANNs), is presented. The performance …