Bilatu
18-tik 11-18 emaitza erakusten
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Teaching Model-Based Systems Engineering with MATLAB & Simulink for Smart Energy Systems
(2023)
Developing complex and smart energy systems is a challenge for today's industry. Systems are developed consisting of power hardware, control and communication hardware, and software of all kinds with more and more connectivity. ...
Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles
(IEEE, 2023)
Automated Vehicles (AVs) require sensing and perception to integrate data from multiple sources, such as cameras, lidars, and radars, to operate safely and efficiently. Collaborative sensing through wireless vehicular ...
Exploring a Methodological Approach to Assessing the Potential Impact of the Implementation of Circular Economy Strategies on Regional Economies Through Environmentally Extended Input-Output Tables
(DIIM, FTS, University of Novi Sad, 2023)
This article is part of a research stream that aims to evaluate the impact of circular economy policies on greenhouse gas (GHG) emission reduction and the industrial structure of specific regions. Building upon previous ...
PEM motako erregai-pilen zenbakizko analisia eta balioztatze esperimentala
(Udako Euskal Unibertsitatea (UEU), 2023)
Gaur egungo aldaketa klimatikoa dela medio, energia elektrikoa lortzeko alternatiba berri ugari sortzen ari dira. Horien artean erregai-pilek abantaila suposatzen dute hainbat esparrutan. Ikerketa honetan gaur egun garapen ...
Mapping human factors in virtual reality: VRUXMapeo de los factores humanos relacionados con la realidad virtual: VRUX
(AEIPRO, 2023)
Industry 5.0 addresses the technocentric limitations of Industry 4.0 and opts for a more humancentred industry. This affects the different technologies that are already being implemented in manufacturing such as exoskeletons, ...
Aumento de la precisión de posicionado de células robóticas en aplicaciones de mecanizado
(2023)
En las últimas décadas han incrementado las aplicaciones de los robots industriales aumentando también la demanda en la precisión de posicionado. Sin embargo, los robots industriales se caracterizan por ser muy repetitivos ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...