To protect its radar operators from the impact of a nuclear blast, the MoD ensured staff at ROTOR facilities were housed in ...
In this edition of Data Spotlight, we look at how short interest sharpens factor investing, how dividend forecasts aid ...
Background The Swedish Targeted Health Dialogue (THD) is a widely implemented, individual-focused intervention involving ...
Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality ...
What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...
A celebration of big data, high-performance computing, and artificial intelligence at the University at Buffalo. The Artificial Intelligence and Data Science Symposium @ UB: IAD Days 2025 (formerly ...
This project analyzes U.S. electricity generation patterns using 24 years of monthly data from January 2001 to April 2025. The analysis combines traditional time series methods with modern machine ...
Background: Lower extremity peripheral arterial disease (LEPAD) significantly affects quality of life and is associated with severe cardiovascular risks. Studies on its long-term incidence trends are ...
Manufacturing is becoming more data-driven by the day. Machines on the factory floor generate overwhelming volumes of sensor data, tracking everything from temperature and pressure to vibration and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback