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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

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An 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 ...