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            Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024 

            Schulte, Horst; Hoffmann, Frank; Mikut, Ralf (2024)
            This conference proceedings volume contains the contributions from the 34th ""Computational Intelligence"" workshop, held in Berlin from November 21 to November 22, 2024. The main focus areas are methods, applications, and ...
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            Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024 

            Schulte, Horst; Hoffmann, Frank; Mikut, Ralf (2024)
            This conference proceedings volume contains the contributions from the 34th ""Computational Intelligence"" workshop, held in Berlin from November 21 to November 22, 2024. The main focus areas are methods, applications, and ...
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            Der Quasi-n-Level Betrieb des Flying Capacitor Umrichters für Mittelspannungsanwendungen 

            Mersche, Stefan Christoph (2024)
            The quasi-n-level operation of the flying capacitor converter (FCCs) is an optimized operation mode of a multilevel converter. The quasi-n-level operation of a multilevel converter was presented with an analysis of its ...
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            Self-learning Anomaly Detection in Industrial Production 

            Meshram, Ankush (2023)
            Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is ...
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            Ein Verfahren zur lexikographischen modellprädiktiven Regelung mit der Anwendung auf eine permanenterregte Synchronmaschine 

            Xaver Schnurr, Christoph (2022)
            In classical approaches for the torque control of Permanent Magnet Synchronous Machines the torque references are converted into current references by static lookup tables which consider power losses. This procedure is ...
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            Credits


            • logo Investir l'avenirInvestir l'avenir
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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