Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …
manufacturing data. This opens new horizons for data-driven methods, such as Machine …
Data science methods and tools for industry 4.0: A systematic literature review and taxonomy
The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
Executable knowledge graphs for machine learning: a Bosch case of welding monitoring
Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …
industries. However, industrial ML is affected by: the low transparency of ML towards non …
Ontology reshaping for knowledge graph construction: applied on Bosch welding case
Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …
and access, and there are several approaches to enable (semi-) automatic construction of …
Enhancing knowledge graph generation with ontology reshaping–Bosch case
Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case |
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Scaling usability of ML analytics with knowledge graphs: exemplified with a Bosch welding case
Automated welding is heavily used in the automotive industry to produce car bodies by
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
The data value quest: a holistic semantic approach at Bosch
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Towards generalized welding ontology in line with ISO and knowledge graph construction
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction |
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Query-based industrial analytics over knowledge graphs with ontology reshaping
Industrial analytics that includes among others equipment diagnosis and anomaly detection
heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as …
heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as …
ExeKG: Executable knowledge graph system for user-friendly data analytics
Data analytics including machine learning (ML) is essential to extract insights from
production data in modern industries. However, industrial ML is affected by: the low …
production data in modern industries. However, industrial ML is affected by: the low …