Detecting anomalous events in videos is a challenging task due to their infrequent and unpredictable nature in real-world scenarios. In this paper, we propose SwinAnomaly, a video anomaly detection ...

This paper introduces GeneA-SLAM2, an RGB-D SLAM system for dynamic environments. It eliminates dynamic object interference via depth statistical information and enhances keypoint distribution ...

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 ...

Effective delay management is essential for enhancing high-speed railway (HSR) operational efficiency. Clustering methods, a core technique for identifying delay patterns, categorize trains with ...