[HTML][HTML] On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review

YF Zhao, J Xie, L Sun - Engineering, 2024 - Elsevier
Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …

Online validation of digital twins for manufacturing systems

G Lugaresi, S Gangemi, G Gazzoni, A Matta - Computers in Industry, 2023 - Elsevier
Digital twins are considered among the most important technologies to optimize production
systems and support decision making. To benefit from their functionalities, it is essential to …

Inside Production Data Science: Exploring the Main Tasks of Data Scientists in Production Environments

A Schmetz, A Kampker - AI, 2024 - mdpi.com
Modern production relies on data-based analytics for the prediction and optimization of
production processes. Specialized data scientists perform tasks at companies and research …

BioSync: Offline-Synchronization of time-series data using bio-inspired semantic synchronization strategies

A Schmetz, T Ackermann, A Fitzner, V Steinhoff… - Procedia CIRP, 2023 - Elsevier
In modern data-centric production, multiple sensors, machines, equipment, and systems are
connected providing high variety and amount of data to enable insights to ongoing …

Evaluation of Offline Data Synchronization Approaches in data-intense Manufacturing

A Schmetz, A Kampker - Procedia CIRP, 2024 - Elsevier
In smart manufacturing, the usage of data is crucial to enable data-based insights, analytics,
and optimizations. Quality and performance of those data-based services directly depend on …

Time Synchronization Uncertainty Estimation Methodology for data-centric Production Scenarios

A Schmetz, D Roth, A Kampker - Procedia CIRP, 2023 - Elsevier
In modern data-centric production, multiple sensors, machines, equipment, and systems are
connected providing a high variety and amount of data to enable insights into ongoing …

Increasing the Dependability of a Real-Time System

DE Niți, T Kubik, S Enyedi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper describes the results of benchmarking the sensor readings in a real-time
monitoring testing environment. The performance of Redis versus Firebase database is …