In this paper, we propose SwinAnomaly, a video anomaly detection approach based on a conditional GAN-based autoencoder with feature extractors based on Swin Transformers. Our approach encodes ...

Accurate detection of leaks in underground water pipelines poses significant challenges due to the complexity of acoustic signals and environmental noise. The deep burial and widespread distribution ...

New 2D quantum sensor breakthrough offers new opportunities for magnetic field detection. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 05 / 250528131829.htm ...

A team of physicists at the University of Cambridge has unveiled a breakthrough in quantum sensing by demonstrating a 2D material as a versatile platform for next-generation nanoscale ...

A team of physicists at the University of Cambridge has unveiled a breakthrough in quantum sensing by demonstrating the use of spin defects in hexagonal boron nitride (hBN) as powerful, room ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Introduction: Numerous predictive models for student dropout have been developed to date. However, the majority of these approaches are grounded in traditional classification and regression techniques ...

While many seizure detection methods have demonstrated great accuracy, their training necessitates a substantial volume of labeled data. To address this issue, we propose a novel method for ...