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Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)
The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ...
How ready is the wind energy industry for the circular economy?
(Elsevier, 2023)
Despite the strong contribution of wind energy for decarbonisation, the readiness of the wind industry for the transition to a sustainable circular economy (CE) is still unclear. To support CE innovation in the wind industry, ...
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
Characterizing the Backscattered Spectrum of Mie Spheres
(Wiley, 2023)
This study describes both experimentally and theoretically an important hitherto undiscovered feature of the scattering of micron-sized spherical objects when illuminated with highly focused circularly polarized light. ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
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 ...
Non-destructive experimental technique to determine ball contact load in rolling machine elements
(Elsevier, 2024)
Rolling machine elements, such as ball bearings, ball screws, or guiding systems are commonly used in diverse industrial applications. These components typically assume uniform load distribution among the balls or rely on ...
A general kinematic model for lubricated ball bearings based on the minimum energy hypothesis
(Elsevier, 2024)
Accurately predicting the performance of lubricated rolling elements is critical for certain key bearing applications. A widely employed simulation technique is quasi-static models, which although computationally efficient ...
Definition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamide
(Springer, 2024)
This paper presents the application of an advanced quality management tool, the design of experiments (DOE), in order to characterise a new material (carbon fibre-reinforced polyamide) used in the 3D printing process. The ...
Combining experimental and FEM approaches to determine the influence of workpiece temperature on fundamental variables in the machining process
(Materials Research Forum LLC, 2024)
In machining it is common practice to use lubricants to enhance machinability, resulting in improved part quality and reduced tool wear. However, emerging efforts are centered on mitigating the environmental impact of ...