Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Abstract: At present, the IDA algorithm is a commonly used method for estimating causal effects between variables from observational data. In the IDA algorithm, the PC algorithm is first used to ...

Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units have been intensely investigated across the world, to probe the nature of ...

Abstract: Sparse Bayesian algorithms have attracted a lot of attention in various application areas for solving sparse recovery problems. One of these is the direction-of-arrival estimation in ...

This was my project for the unit 'Natural Language Processing for the Creative Industries' at the University of the Arts London during Term 1 of my masters program. Research into the area of text ...