Due to the smaller size, low cost, and easy operational features, small unmanned aerial
vehicles (SUAVs) become more popular for various defense as well as civil applications …

The non-availability of open-source datasets covering various human suspicious activities
and well-trained deep learning (DL) architecture limits the effective utilization of DL network …

Radar-based human activity recognition (HAR) offers a non-contact technique with privacy
protection and lighting robustness for many advanced applications. Complex deep neural …

In this work, we present the accurate micro-Doppler (mD) imaging of behaviors of
simultaneous operation of multiple low-altitude, smaller size, and slowly flying (LSS) targets …

Developing a photonics radar to detect the combined multiple simultaneous-
behaviours/postures of low-slow-small (LSS) aerial targets and appropriately extracting their …

Nowadays, developing the radio frequency (RF)-photonic sensors suitable for several
Defence and civil applications is emerging due to its various unique advantages. In today's …

Abstract Human Action Recognition (HAR) is a challenging domain in computer vision,
involving recognizing complex patterns by analyzing the spatiotemporal dynamics of …

Breast cancer is a prevalent and highly lethal cancer affecting women globally. While non-
invasive techniques like ultrasound and mammogram are used for diagnosis, histological …

Although 2D radar signal representations, such as spectrograms and range-Doppler maps
have been widely used for target recognition, 3D time-range-Doppler (TRD) has been less …

The identical nature of range-Doppler/micro-Doppler (rD/mD) signatures of small unmanned
aerial vehicle (sUAV) invite the involvement of artificial intelligence (AI) for their …