eBiltegia - Mondragon Unibertsitateko biltegi digitala
Mondragon Unibertsitateko Biltegi digitalak unibertsitatean jarduera akademiko, ikertzaile eta instituzionalaren emaitza gisa sortutako dokumentuen testu osoa eskuratzeko aukera ematen du sarbide irekian erakundearen Sarbide Irekiko politikak betez:
Bere helburua da zientzia irekia sustatzea, unibertsitateko ekoizpen zientifiko eta akademikoaren ikusgarritasun eta eragina areagotzea, eduki digitalen babes segurua bermatzea eta estandar teknikoen bidez haien elkarreragingarritasuna erraztea.Doktore-tesiak, gradu eta master bukaerako lanak, material didaktikoa, unibertsitateko argitalpenak, lan-dokumentuak, preprintak, postprintak, artikuluak, kongresuetako aktak, datu-sortak, dokumentu instituzionalak eta abar aurkitu ahal izango dituzu.
Komunitateak eBiltegian
Erantsitako azken lanak
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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 ...
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