Abstract: The identification of anomalies holds significant importance across various domains, including finance, healthcare, and cybersecurity. Recently, deep learning techniques, such as ...
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 ...
Abstract: This letter explores the architecture of tiny machine learning (TinyML). Deploying machine learning into embedded devices is challenging due to the limited computation power and memory space ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results