152 citations
- University of the Basque CountryES17 papers
- Universidad de NavarraES5 papers
- Donostia International Physics CenterES3 papers
- IkerbasqueES3 papers
- Biogipuzkoa Health Research InstituteES2 papers
- Digital Research Alliance of Canada2 papers
- Politecnico di MilanoIT2 papers
- Tech FoundationUS2 papers
- Boeing (Spain)ES1 paper
- Boston CollegeUS1 paper
- Catholic University of Eastern AfricaKE1 paper
- CIC nanoGUNEES1 paper
47 papers
Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks
Dimitri Galli, Andrea Venturi, Dario Stabili +2
Graph Neural Networks (GNNs) represent a promising solution for Machine Learning (ML) based Network Intrusion Detection Systems (NIDS), thanks to their ability to leverage both net…
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1
This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA C-MAPSS dataset. The framewo…
Implementation of the hybrid exchange-correlation functionals in the SIESTA code
Yann Pouillon, Bill Clintone Oyomo, James Sifuna +6
We present an efficient and accurate implementation of hybrid exchange-correlation (XC) functionals in the SIESTA code, enabling large-scale simulations based on Hartree-Fock-type…
Surrogate model of a HVAC system for PV self-consumption maximisation
B. da Costa Paulo, N. Aginako, J. Ugartemendia +3
In the last few years, energy efficiency has become a challenge. Not only mitigating environmental impact but reducing energy waste can lead to financial advantages. Buildings play…
Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
Julen Cestero, Carmine Delle Femine, Kenji S. Muro +2
Optimizing the energy management within a smart grids scenario presents significant challenges, primarily due to the complexity of real-world systems and the intricate interactions…
A Fully Interpretable Statistical Approach for Roadside LiDAR Background Subtraction
Aitor Iglesias, Nerea Aranjuelo, Patricia Javierre +3
We present a fully interpretable and flexible statistical method for background subtraction in roadside LiDAR data, aimed at enhancing infrastructure-based perception in automated…