Michael Heider
Has participated in:
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Increasing reliability in FDM manufacturing
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Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study
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Towards automated parameter optimisation of machinery by persisting expert knowledge
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Knowledge extraction via decentralized knowledge graph aggregation