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 A two-step machine learning approach for dynamic model selection: A case study on a micro milling process Result title A two-step machine learning approach for dynamic model selection: A case study on a micro milling process
 Ecosystem Management Body Result description Rules and policies for ecosystem building process and coordination actions for internal and external stakeholders
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Description Smart Manufacturing is believed to play a critical role in maintaining the competitiveness of organisations, by supporting them at different levels such as process optimisation, resource efficiency, predictive
 Automated Process Knowledge Graph Construction from BPMN models Result title Automated Process Knowledge Graph Construction from BPMN models
 Periodic Reporting for period 1 - TEAMING.AI (Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing) Result description Smart Manufacturing plays a critical role in maintaining the competitiveness of companies and organizations, by supporting them at different levels such as process optimization, resource efficiency, predictive
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Description The aim is to Integrate smart, cost-effective sensors and actuators for process simulation, monitoring and control develop real-time data validation and integrity strategies within actual production
 In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning Result title In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning
 Design and development of in-line measurement systems for highly reflective surfaces Result description The process offers rapid, accurate measurements in under five seconds, with a feature analyses algorithm identifying holes and their locations.
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Description such, will be built at this high-level (Apps&Services) layer in a multi-service approach providing an innovative holistic combination of functionalities for advanced energy-efficient, sustainable process
 Report on the standardization landscape and applicable standards Result title Report on the standardization landscape and applicable standards Result description Report on the standardization landscape and applicable standards
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Description BOOST 4.0 will also demonstrate how European industry can build unique strategies and competitive advantages through big data across all phases of product and process lifecycle (engineering, planning,
 Evaluation and comparison of open standards for digital twin in Industry 4.0 Result title Evaluation and comparison of open standards for digital twin in Industry 4.0
 BOOST 4.0 standardization & certification v1 Result description I4.0 standards and certification
 BOOST 4.0 standardization & certification v2 Result description I4.0 standards and certification
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Description operations to meet the production rates anticipated for the A350 programme and other future programmes​ Take concepts from TRL2 to TRL4, through demonstration of key and novel aspects of the automation process
 Manufacturing Service Buses for Data Interoperability Result description Large, highly integrated manufacturing systems are characterised by complex data systems that enable the manufacturing process.
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Description CAPRI will develop, test and experiment an innovative Cognitive Automation Platform (CAP) for Process Industry Digital Transformation, enabled by cognitive tools that provide existing process industries
 Cognitive Solutions in Process Industry: H2020 CAPRI Project Result title Cognitive Solutions in Process Industry: H2020 CAPRI Project
 Reference architecture of Cognitive Automation Platform Result description Preliminar design of the CAP Architecture based on existing standards (FIWARE, RAMI4.0, IDSA, Apache) and requirements from use cases.
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Description It will create an Energy sustainability management framework collecting data from the factory and holistically process them to create dedicated energy sustainability metrics.
 Process Control and Energy Saing in the Ladle Stage of a Metal Casting Process: Comparison between a Mechanistic and an ANN Based Model and Application in the Management of the Process Result title Process Control and Energy Saing in the Ladle Stage of a Metal Casting Process: Comparison between a Mechanistic and an ANN Based Model and Application in the Management of the Process
 Εnergy-related flows and process energy sustainability modelling, representation and implementation framework Result description This deliverable contains the report for nergyrelated flows and process energy sustainability modelling representation and implementation framework of EnerMan
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Description Develop computational modelling toolbox for product and process design, non-destructive diagnostic tools for production monitoring, and data solution for seamless integration of the whole supply-chain.
 Data management plan Result description The consortium will prepare a Project Data Management Plan (PDMP; D9.2) including a description of methodology and standards to be followed, what data sets are exploitable or made accessible for verification
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Description Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts.
 Damaged metal part inspection and repairing Result description Fluent and natural human-robot interaction for part inspection, defect detection and repair strategy preparation for intelligent decision-making support and faster programming time of repairing process
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Description AUTO-TWIN addresses the technological shortcoming and economic liability of the current system-engineering model by 1) introducing a breakthrough method for automated process-aware discovery towards
 Sterilisation Process - Health Sector (CROMA) Result title Sterilisation Process - Health Sector (CROMA)
 2nd International Workshop on Process Management in the AI era Result description Inspired by the toy story in the AUTO-TWIN project, this abstract suggests augmenting process discovery with causal process discovery to generate causal-process-execution narratives.
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Description Industrial Metaverse Pillar 4: Human centred technologies and upskilling The impact of MODUL4R for the EU Manufacturing industry, but also the society itself, can be summarised as follows: (i) Process
 Clustering activities with the ONE4ALL, MARS and MODAPTO sister research projects Result description to explore the modularity of production systems that will enable flexibility and allow production to vary according to emerging needs and circumstances by introducing, changing, and removing different process
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Description Production processes demanding high human skill such as forming processes, requires readjustment of the process parameters of all production steps as a new product evolves.
 Voestalpine Use Case Result description The vision of the future process A new shopfloor modelling approach will facilitate the integration of ERP- and machine capability as well as current configuration status data into a product, process