Efficient recognition of electricity stealth cyberattacks within the advanced metering infrastructures (AMIs) is limited by the lack of deliberate electricity theft datasets. Thus, anomaly-based ...

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

Second, the applied deep learning method is based on an autoencoder where a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) is utilized as the autoencoder ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...