In this study, we present TransformNILM, a novel Transformer based model for Non-Intrusive Load Monitoring (NILM). To infer the consumption signal of household appliances, TransformNILM employs ...

However, traditional transformer often struggles to capture minor fault features in the system. To solve this challenge, an incipient fault diagnosis method using transformer with a ...

Smaller batch sizes may lead to unstable gradients and, theoretically, require more training epochs to achieve the best results. Additionally, each generation of the YOLO model has significant ...

DLSS 4's upgraded Transformer-based AI Super Resolution has exited Beta, which means we'll start seeing it arrive in a lot more games.

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a new Transformer-based model. DLSS (Deep Learning Super Sampling) has ...

Bug summary stem breaks when I specify the horizontal components with a PyTorch Tensor. Code for reproduction import torch from matplotlib import pyplot as plt x = torch.arange (10.) y = (x * .2 * ...