45 citations · 68 across the 7 of their papers we have counts for
7 papers
A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
Francisco Caldas, Sahil Kumar, Cláudia Soares
We introduce a model-agnostic forward diffusion process for time-series forecasting that decomposes signals into spectral components, preserving structured temporal patterns such a…
Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach
Katarina Dyreby, Francisco Caldas, Cláudia Soares
In the era of mega-constellations, the need for accurate and publicly available information has become fundamental for satellite operators to guarantee the safety of spacecrafts an…
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables
Francisco Caldas, Cláudia Soares
The increasing volume of space objects in Earth's orbit presents a significant challenge for Space Situational Awareness (SSA). And in particular, accurate orbit prediction is cruc…
Conjunction Data Messages for Space Collision Behave as a Poisson Process
Francisco Caldas, Cláudia Soares, Cláudia Nunes +1
Space debris is a major problem in space exploration. International bodies continuously monitor a large database of orbiting objects and emit warnings in the form of conjunction da…
Machine Learning in Orbit Estimation: a Survey
Francisco Caldas, Cláudia Soares
Since the late 1950s, when the first artificial satellite was launched, the number of Resident Space Objects has steadily increased. It is estimated that around one million objects…
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
Francisco M. Caldas, Cláudia Soares
Emergency Departments (EDs) are a fundamental element of the Portuguese National Health Service, serving as an entry point for users with diverse and very serious medical problems.…
Conjunction Data Messages behave as a Poisson Process
Francisco Caldas, Claudia Soares, Cláudia Nunes +3
Space debris is a major problem in space exploration. International bodies continuously monitor a large database of orbiting objects and emit warnings in the form of conjunction da…