With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

Radar-based human activity recognition is attracting a wide range of interest from both
industry and academia because of its through-wall ability, privacy-preserving capability, and …

Developing unmanned aerial vehicles (UAVs) and birds surveillance technologies to
produce accurate descriptions and achieve high classification accuracy is critical in the field …

In this paper, the authors present a new transfer-learning-based robust technique for
detection and classification of multi-type faults in low-voltage power distribution grids. Three …

In this paper, we propose to extract the motions of different human limbs by using
interferometric radar based on the micro-Doppler-Range signature (mDRS). As we know …

In recent years, the micro-Doppler signature (MDS), human MDS in particular, has become a
hot topic for target recognition and classification. All limbs' periodic oscillations and torso's …

The increased usage of smartphones for daily activities has created a huge demand and
opportunities in the field of ubiquitous computing to provide personalized services and …

Artificial neural network plan is a complicated job since its demonstration relies upon the
design, the selected task and the knowledge calculation used to prepare the arrangement of …