Zerrendatu Ekoizpen zientifikoa honen arabera: ikerketa taldea "Análisis de datos y ciberseguridad"
31-tik 1-20 emaitza erakusten
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Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach
(IEEE, 2022)In the context of Industry 4.0, the optimization of manufacturing processes is a challenge. Although in recent years many of the efforts have been in this direction, there is still improvement opportunities in these ... -
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
(MDPI, 2023)In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is ... -
A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance
(Sage Journals, 2019) -
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
(Springer Verlag, 2019)Industrial processes are being developed under a new scenario based on the digitalisation of manufacturing processes.Through this, it is intended to improve the management of resources, decision-making, ... -
CARNYX: A framework for vulnerability detection via power consumption analysis in embedded systems
(Springer Nature, 2025) -
Computational Intelligence for Sustainable Glass Manufacturing: A Data-Driven Approach for Energy Efficient Conditioning
(John Wiley and Sons Ltd, 2026)In the glass container manufacturing process, conditioning is a key stage that contributes to energy consumption. The main objective of conditioning is to cool the glass exiting the furnace to a suitable temperature for ... -
Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design
(IEEE, 2020)This work presents a critical analysis of the suitability of surrogate models for finite element method application. A case study of a finite element method (FEM) structural problem was selected in order to test the ... -
Data-Driven Optimization of Plasma Electrolytic Oxidation (PEO) Coatings with Explainable Artificial Intelligence Insights
(MDPI, 2024)PEO constitutes a promising surface technology for the development of protective and functional ceramic coatings on lightweight alloys. Despite its interesting advantages, including enhanced wear and corrosion resistances ... -
Dataset with trips of a 17-floor traction elevator
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2025) -
Drilling test data from new and worn bits
(2019)This directory contains the raw data acquired by Mondragon Unibertsitatea during the execution of drilling tests. These data were used to obtain the results presented in the article "The capacity of statistical features ... -
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladrado
(Federación de Asociaciones de Ingenieros Industriales de España, 2020) -
Fuzzing adimentsua sistema txertatuetan
(UEU, 2023) -
Generalized SMOTE: A universal generation oversampling technique for all data types in imbalanced learning
(CAEPIA, 2021)A common problem that arises when facing classification tasks is the class imbalance problem, which happens when one or more classes are heavily underrepresented compared to the rest, being usually those minority classes ... -
An interpretable operational state classification framework for elevators through Convolutional Neural Networks
(Wiley, 2025)Ensuring the safe, reliable, and cost-efficient operation of transportation systems such as elevators is critical for the maintenance of civil infrastructures. The ability to monitor the health state and classify different ... -
Laser Metal Deposition (LMD) Process Monitoring: From 3D Visualization of Sensor Data Towards Anomaly Detection
(Springer Nature, 2025)Metal Additive Manufacturing (AM) allows producing geometrically complex metal components, unlocking new design possibilities and making it suitable to sectors such as healthcare, automotive and aerospace. AM processes are ... -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
Monitorización longitudinal de la compliancia pulmonar basada en la TIE en pacientes infectados por COVID-19
(Sociedad Española de Ingeniería Biomédica, 2021)El COVID-19 es una infección vírica que causa complicaciones en el sistema respiratorio. Los síntomas más comunes sugieren que las tecnologías de imagen médica pueden ofrecer información relevante sobre el diagnóstico, ...
