This view of NASA’s Ingenuity Mars Helicopter was generated using data collected by the Mastcam-Z instrument aboard the agency’s Perseverance Mars rover on Aug. 2, 2023, the 871st Martian day, or sol, ...

The Defense Intelligence of Ukraine has published a detailed analysis of the design and components of the Russian Geran-3 jet-powered unmanned aerial vehicle of the “U” series. The data was released ...

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Abstract: Due to scarcity of time-series data annotated with descriptive texts, training a model to generate descriptive texts for time-series data is challenging. In this study, we propose a method ...

A comprehensive analysis framework for detecting structural breaks in Brent oil price data using change point detection methods and statistical modeling techniques. This project implements a complete ...

The association between time and reperfusion in an extended time window remains unexplored. This study aimed to investigate whether time delay was associated with reduced odds of reperfusion in ...

Selecting the right technologies and solutions for your business requires a thorough understanding of what you do—and don’t—need. While leaning toward more general purpose, traditional solutions is ...

1 Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China 2 Fuzhou Center for Disease Control and Prevention, Fuzhou, China Objective: The aim of this ...

Time-series data—measurements collected over time like stock prices or heart rates—plays a vital role in AI forecasting systems across industries. As these systems advance, the need for time-series ...