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 ...
AZoSensors on MSN
AI maps heat inside steelmaking’s critical sintering process beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...
This repository contains a pytorch (+ pytorch_lightning) implementation of the Variational Fair Autoencoder (VFAE) as proposed in "The Variational Fair Autoencoder". The code was written in order to ...
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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