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Found 5 papers, 1 papers with code
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Machine learning plays an important role in the operation of current wind energy production systems.
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
In these cases, it therefore remains challenging to exactly reproduce the results in the current research literature.
A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation
In recent years, digital twins have been proposed and implemented in various fields with potential applications ranging from prototyping to maintenance.
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
The main contributions are: (i) introducing a comprehensive taxonomy for critical scenario identification methods; (ii) giving an overview of the state-of-the-art research based on the taxonomy encompassing 86 papers between 2017 and 2020; and (iii) identifying open issues and directions for further research.
A framework for the automation of testing computer vision systems
Vision systems, i. e., systems that allow to detect and track objects in images, have gained substantial importance over the past decades.
