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Data-Driven Fault Diagnosis for Electric Drives: A Review
(MDPI, 2021)
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ...
Automatic Web Navigation Problem Detection Based on Client-Side Interaction Data
(Korea Information Processing Society-Computer Software Research Group, 2021)
The current importance of digital competence makes it essential to enable people with disabilities to use digital devices and applications and to automatically adapt site interactions to their needs. Although most of the ...
A methodology for performance assessment at system level—Identification of operating regimes and anomaly detection in wind turbines
(Elsevier, 2023)
In the growing wind energy sector, as in other high investment sectors, the need to make assets profitable has put the spotlight on maintenance. Efficient solutions which leverage from condition or performance based ...
A maturity model for the autonomy of manufacturing systems
(Springer, 2023)
Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require ...
MagNet challenge for data-driven power magnetics modeling
(IEEE, 2024)
This paper summarizes the main results and contributions of the MagNet Challenge 2023, an open-source research initiative for data-driven modeling of power magnetic materials. The MagNet Challenge has (1) advanced the ...
Prediction of long-term creep modulus of thermoplastics using brief tests and interpretable machine learning
(Elsevier, 2024)
The prediction of creep behavior plays a critical role in the design of thermoplastic materials intended for prolonged use. The creep modulus, which describes the relationship between stress and strain that a material ...
On the use of machine learning for predicting femtosecond laser grooves in tribological applications
(Elsevier, 2024)
Femtosecond laser surface texturing is gaining increased interest for optimizing tribological behaviour. However, the laser surface texturing parameter selection is often conducted through time-consuming and inefficient ...
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 ...
Survey on decentralized congestion control methods for vehicular communication
(Elsevier Ltd., 2022)
Vehicular communications have grown in interest over the years and are nowadays recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an efficient management of the road traffic and ...
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
(Elsevier, 2023)
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse hardware and software, and being ...
