Abstract: With the rapid growth of electric vehicle (EV) adoption, ensuring the reliability and safety of their battery systems is of significant importance. Current anomaly detection methods, which ...

Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...

MathWorks has announced the launch of MATLAB Copilot, a generative AI assistant for MATLAB that enhances productivity and accelerates development for engineers, scientists, and researchers. Available ...

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...