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 ...

Steam pipeline leak detection is significant for identifying potential risks and improving the efficiency of inspections in power plants. However, due to various complex scenarios and densely ...

BIG and dencityworks | architecture shared renderings of 175 Third Street, a 27-story tower with 1,000 residential units—250 of which affordable—perched above a public park that lines the ...

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 ...