Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
Abstract: We conducted an in-depth investigation into the impact of Conditional Variational Autoencoders (CVAE) and Bayesian Neural Networks (BNN) on high dynamic range (HDR) image reconstruction. A ...
Variational quantum eigensolver (VQE) is a promising algorithm to solve electronic structure problems. However, conventional multi-qubit VQE requires many quantum resources for complex problem. We ...
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