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Improving fuzzing assessment methods through the analysis of metrics and experimental conditions
(Elsevier, 2023)
Fuzzing is nowadays one of the most widely used bug hunting techniques. By automatically generating malformed inputs, fuzzing aims to trigger unwanted behavior on its target. While fuzzing research has matured considerably ...
Big Data Life Cycle in Shop-floor. Trends and Challenges
(IEEE, 2023)
Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ...
Excess healthcare costs of mental disorders in children, adolescents and young adults in the Basque population registry adjusted for socioeconomic status and sex
(Springer Nature, 2023)
Background
Mental illnesses account for a considerable proportion of the global burden of disease. Economic evaluation of public policies and interventions aimed at mental health is crucial to inform decisions and improve ...
Diffusion in liquid mixtures
(Springer Nature, 2023)
The understanding of transport and mixing in fluids in the presence and in the absence of external fields and reactions represents a challenging topic of strategic relevance for space exploration. Indeed, mixing and transport ...
(Re)Conceptualizando la Renovación Pedagógica en España. Una Revisión Sistemática: Uma revisão sistemática
(Universidad Autónoma de Madrid, 2023)
Fruto de los cambios y movimientos políticos y sociales de los últimos años, y para dar respuesta a los retos de la sociedad actual, los centros escolares se han encontrado con la necesidad de renovar sus prácticas educativas ...
La Renovación Pedagógica Hoy: Transformación y Defensa de lo Público y el Bien Común
(Universidad Autónoma de Madrid, 2023)
El trabajo de investigación que aquí se presenta es un intento por caracterizar el complejo concepto de la renovación pedagógica en el periodo actual. Tratando simultáneamente de delimitar este ...
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
(Elsevier, 2023)
In the transition towards more sustainable ships, electric motors (EM) are being used in ship propulsion systems to reduce emissions and increase efficiency. The safe operation of ships is crucial, and prognostics and ...
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
(Elsevier, 2023)
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data-driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing ...
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ...
Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions
(Thieme, 2023)
Background. Synthetic tabular data generation is a potentially valuable technology with great promise for data augmentation and privacy preservation. However, prior to adoption, an empirical assessment of generated synthetic ...