A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

iSDF is real-time system the reconstructs the signed distance field (SDF) of room scale environments through the online training of a neural SDF. The model is represented by a MLP that is trained in a ...

Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...

Abstract: Through-the-wall radar (TWR) achieves human motion recognition by extracting Doppler and micro-Doppler features. In order to solve the problems of the excessive number of parameters in ...

The University Grants Commission (UGC) has directed all higher education institutions (HEIs) to discontinue offering programmes in healthcare and allied disciplines through Open and Distance Learning ...