The micro-Doppler (m-D) effect arises from additional Doppler frequency modulation induced by the motion characteristics of a radar target. Analyzing the radar signal in the frequency domain enables a ...

Since self-supervised learning feature representations effectively express high-level speech information useful for solving various downstream tasks, the proposal is expected to make speech ...

Salsabil Houij, a young Tunisian who pursued her studies in Tunisia and later in Italy, has been selected to participate in an Earth-orbit mission scheduled for 2029, as part of a program for future ...

Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterials─including complex assemblies ...

To realize model IP protection across platforms and environments, we propose a robust hashing scheme for neural network models via heterogeneous graph representation, which can effectively detect the ...