IEEE

Unsupervised Global Difference Modeling for Image Change Detection

In change detection, impact of nonintrinsic changes such as those caused by illumination, season, and viewing angle variances are common in practice but also a great challenge for change detection ...

Google spots malware in the wild that morphs mid-attack, thanks to AI

ZDNET's key takeaways Google detected novel adaptive malware in the wild.This new malware uses LLMs to dynamically generate ...
eLife

Unbend: Correction of local beam-induced sample motion in cryo-EM images using a 3D spline model

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...
IEEE

Threshold-free Event Detection for Nonintrusive Load Monitoring using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...