Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Abstract: Detecting Out-of-Distribution (OOD) gestures is vital for reliable radar-based gesture-recognition systems. Traditional autoencoders often fall short in OOD ...
Abstract: Detection of high impedance faults (HIFs) in power distribution networks remains a challenging task due to the low current magnitudes and varying characteristics associated with these faults ...
scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...
Following a major fire at a PG&E substation, restoration efforts are underway to reconnect affected customers in San Francisco. The utility emphasizes safety, ongoing communication... Power quality ...
SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
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