12 citations · 15 across the 5 of their papers we have counts for
5 papers
Reliable Statistical Guarantees for Conformal Predictors with Small Datasets
Miguel Sánchez-Domínguez, Lucas Lacasa, Javier de Vicente +2
Surrogate models (including deep neural networks and other machine learning algorithms in supervised learning) are capable of approximating arbitrarily complex, high-dimensional in…
A novel pointing technique for the enhancement of Tropospheric Delay Calibration System performances
David Bernacchia, Riccardo Lasagni Manghi, Marco Zannoni +5
The beam-crossing is a novel technique aimed at reducing residual tropospheric Doppler noise for microwave radiometer calibrations. In this work, we report the findings of the firs…
A Certifiable Machine Learning-Based Pipeline to Predict Fatigue Life of Aircraft Structures
Ángel Ladrón, Miguel Sánchez-Domínguez, Javier Rozalén +5
Fatigue life prediction is essential in both the design and operational phases of any aircraft, and in this sense safety in the aerospace industry requires early detection of fatig…
Coanda Flow Characterization on Base Bleed Configurations Using Global Stability Analysis
Alejandro Martinez-Cava, Eusebio Valero, Javier de Vicente +1
Base pressure control is often employed on drag reduction design, but the interaction of the jet with the base region flow topology can generate undesired or uncontrolled flow conf…
Pressure Bifurcation Phenomenon on Supersonic Blowing Trailing Edges
Alejandro Martinez-Cava, Yinzhu Wang, Javier de Vicente +1
Turbine blades operating in transonic-supersonic regime develop a complex shock wave system at the trailing edge, a phenomenon that leads to unfavorable pressure perturbations down…