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Ikusi guztiakZentroari buruz
Martxoaren 5ean eta 6an, BCAMek (Basque Center for Applied Mathematics) topaketa zientifiko bat antolatu du Bilbon BCAM Severo Ochoa Strategic Lab Matematika Kuantikoko laborategi berriaren sorrera ospatzeko. Laborategi hau 2025eko irailean jarri zen martxan eta Niels Benedikter (Milango…
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- Berritze honek bi erakundeek graduko, graduondoko eta ikertzaile junior zein seniorren trukea sustatzeko, ikerketa eta hezkuntza ekimen bateratuak garatzeko eta bientzat in
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- Coello Ikerbasque-ko ikertzaile irakaslea da BCAMen (talde-burua, Optimizazio Konbinatorioa).
- Panelak 40 kide izango ditu, hiru urteko agintaldiarekin, oreka
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Bilbao Dirac Eguna 2026 BCAMen ospatzen da
Urtarrilaren 14an, Euskal Herriko Unibertsitateak (EHU) eta Basque Centre for Applied Mathematics (BCAM) erakundeak Bilbao Dirac Eguna 2026 antolatu zuten, Dirac ekuazioari eskainitako egun bakarre
Azken argitalpenak
Ikusi guztiakAn 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 ...