eBiltegia - Repositorio digital de Mondragon Unibertsitatea
El Repositorio digital de Mondragon Unibertsitatea da acceso abierto al texto completo de los documentos generados en la universidad resultado de su actividad académica, investigadora e institucional, cumpliendo con los compromisos de las políticas de Acceso Abierto de la institución:
Su objetivo es promover la ciencia abierta, incrementar la visibilidad e impacto institucional, garantizar la preservación segura de los contenidos digitales, y facilitar su interoperabilidad mediante estándares técnicos.Podrás encontrar tesis doctorales, trabajos de fin de grado y master, material didáctico, publicaciones de la universidad, documentos de trabajo, preprints, postprints, artículos, actas de congresos, sets de datos, documentos institucionales, etc.
Comunidades en eBiltegia
Añadido Recientemente
-
Replica-Based Moving Target Defense Against Injection Attacks in Software-Defined Industrial Control Systems
(IEEE, 2026)Recent incidents have demonstrated the increasing vulnerability of Industrial Control Systems (ICSs) to sophisticated and targeted attacks orchestrated by adversaries with high motivation, resources, and domain knowledge. ... -
Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making
(Instituto Politecnico Nacional, 2026)Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to ... -
A Probabilistic Physics-Aware Battery Health Management Approach for Inspection Drone Operations
(Springer Nature, 2026)The increasing deployment of inspection drones for monitoring remote and critical infrastructure presents new opportunities and challenges in asset management. These drones operate in demanding environments, where ensuring ... -
Sow Smarter, Not Harder: Evaluating LLM-Generated Seeds for Fuzzing Critical Infrastructure
(Springer Nature, 2026)Software vulnerabilities in critical infrastructure components can lead to severe disruptions. While fuzzing effectively identifies such weaknesses, the quality of initial seed inputs significantly impacts its effectiveness. ... -
MagNet Challenge 2023 Revisited: Beyond the Bounds of Equation-Based Core Loss Modeling
(IEEE, 2026)This work focuses on addressing limitations and improving MU’s MagNet Challenge 2023 core loss model. MU’s core loss model is presented and explained, which formalizes and standardizes the model. Then, key limitations ...
RSS 1.0
