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Bilbao Dirac Eguna 2026 tiene lugar en BCAM
El 14 de enero, la Universidad del País Vasco (EHU) y el Basque Centre for Applied Mathematics (BCAM) organizaron Bilbao Dirac Eguna 2026, un encuentro científico de un día dedicado a la ecuación de Dirac. El evento tuvo lugar en la Sala de Seminarios Maryam Mirzakhani de BCAM, en Bilbao, y reunió...
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BCAM se suma a Emakumeak Zientzian 2026 para visibilizar el talento femenino en la ciencia
BCAM vuelve a formar parte de la iniciativa Emakumeak Zientzian, un proyecto colectivo cuyo objetivo es poner en valor el papel de las mujeres en la ciencia, fomentar las vocaciones científicas ent
Últimas publicaciones
Ver todoAn optimal fractional Hardy inequality on the discrete half-line
Das, U.; de la Fuente-Fernández, R. (2026-01-12)
In the context of Hardy inequalities for the fractional Laplacian $(-\Delta_{\mathbb{N}})^{\sigma}$ on the discrete half-line $\mathbb{N}$, we provide an optimal Hardy-weight $W^{\mathrm{op}}_{\sigma}$ for exponents $\sigma\...
A Novel Multi-Resolution Heart Rate Variability Analysis for IoT-based Drowsiness Detection: Preserving Temporal Trends in Features Series
Hafidi, H.E.; De Giovanni, E.; Montanaro, T.; Sergi, I.; De Vittorio, M.; Patrono, L. (2025-07-30)
Heart rate variability (HRV) analysis provides valuable insights into autonomic nervous system regulation and serves as an effective indicator for drowsiness detection in transportation safety applications. This study presen...
Human-Centered and Context-Aware Smart ML-based IoT Framework for Online Fatigue Detection: a Real-World Study of Football Training
Mamen, A.; De Giovanni, E.; Montanaro, T.; Sergi, I.; Patrono, L. (2025-12-08)
Fatigue is one of the factors that most influences competitive athletes’ performance, leading to injuries and overtraining. To effectively monitor and predict fatigue levels during real-world training, it is necessary to int...
Variational Autoencoder-Based Alert System for Onshore Wind Turbine: Application to a Real Case Study
Zamora-Sánchez, D.; Fernandez-Navamuel, A.; Pardo, D.; Magalhães, F.; Pereira, S. (2025-10-01)
Structural Health Monitoring (SHM) of wind turbines is still far from a practical and effective implementation. One of the main limitations is the access to long-term experimental data from operative systems, as well as the ...