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Learning stable reduced-order models for hybrid twins
The concept of Hybrid Twin (HT) has recently received a growing interest thanks to the availability of powerful machine learning techniques.
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis
The present paper aims at analyzing the topological content of the complex trajectories that weeder-autonomous robots follow in operation.
Towards a data-driven debt collection strategy based on an advanced machine learning framework
This is an example of how big the debt collection and debt purchase industry has grown and the important impact it has in the financial sector.
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