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: In this paper we proposed a novel algorithm for image restoration and parameters estimation with a wavelet domain Student-t priors using variational Bayesian method. Because the conventional ...
@article{Abdulaziz2024GMVAE, title = {A variational autoencoder for minimally-supervised pulse shape discrimination}, author = {Abdulaziz, Abdullah and Zhou, Jianxin and Fang, Ming and McLaughlin, ...
Working with low-resolution plastic scintillator detector spectrum presents a challenge: The spectrum often broad and featureless, making it difficult to determine which radioactive sources are ...
Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
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