A joint study of the challenges, opportunities, and roadmap of mlops and aiops: A systematic survey
Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …
The art and practice of data science pipelines: A comprehensive study of data science pipelines in theory, in-the-small, and in-the-large
Increasingly larger number of software systems today are including data science
components for descriptive, predictive, and prescriptive analytics. The collection of data …
components for descriptive, predictive, and prescriptive analytics. The collection of data …
[HTML][HTML] SemML: Facilitating development of ML models for condition monitoring with semantics
Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …
equipment and production processes, which is typically referred to as condition monitoring …
Ontology-enhanced machine learning: a Bosch use case of welding quality monitoring
In the automotive industry, welding is a critical process of automated manufacturing and its
quality monitoring is important. IoT technologies behind automated factories enable …
quality monitoring is important. IoT technologies behind automated factories enable …
[HTML][HTML] Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
Big Data processing, especially with the increasing proliferation of Internet of Things (IoT)
technologies and convergence of IoT, edge and cloud computing technologies, involves …
technologies and convergence of IoT, edge and cloud computing technologies, involves …
Predicting quality of automated welding with machine learning and semantics: a Bosch case study
B Zhou, Y Svetashova, S Byeon, T Pychynski… - Proceedings of the 29th …, 2020 - dl.acm.org
Manufacturing of car bodies heavily relies on demanding welding processes of joining body
parts together that introduce thousands of joining welding spots in each car. Quality …
parts together that introduce thousands of joining welding spots in each car. Quality …
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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content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your …
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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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