Treffer 1 - 7 von 7 für Suche 'Louadah, Hassna', Suchdauer: 0,45s Treffer weiter einschränken
  1. 1
    Interface control document modeling with Citrus (avionics systems interfaces)

    Interface control document modeling with Citrus (avionics systems interfaces) von Louadah, Hassna, Labiche, Yvan


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  2. 2
    Supporting the Management of Rolling Stock Maintenance with an Ontology-Based Virtual Depot

    Supporting the Management of Rolling Stock Maintenance with an Ontology-Based Virtual Depot von Louadah, Hassna, Papadakis, Emmanuel, McCluskey, Thomas Leo, Tucker, Gareth

    Veröffentlicht in Applied sciences

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  3. 3
    Artificial-Intelligence-Based Condition Monitoring of Industrial Collaborative Robots: Detecting Anomalies and Adapting to Trajectory Changes

    Artificial-Intelligence-Based Condition Monitoring of Industrial Collaborative Robots: Detecting Anomalies and Adapting to Trajectory Changes von Ayankoso, Samuel, Gu, Fengshou, Louadah, Hassna, Fahham, Hamidreza, Ball, Andrew

    Veröffentlicht in Machines (Basel)

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  4. 4
    A Hybrid Digital Twin Scheme for the Condition Monitoring of Industrial Collaborative Robots

    A Hybrid Digital Twin Scheme for the Condition Monitoring of Industrial Collaborative Robots von Ayankoso, Samuel, Kaigom, Eric, Louadah, Hassna, Faham, Hamidreza, Gu, Fengshou, Ball, Andrew

    Veröffentlicht in Procedia computer science

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  5. 5
    Sensitivity of PCA and Autoencoder-Based Anomaly Detection for Industrial Collaborative Robots

    Sensitivity of PCA and Autoencoder-Based Anomaly Detection for Industrial Collaborative Robots von Ayankoso, Samuel, Liang, Xiaoxia, Louadah, Hassna, Faham, Hamidreza, Gu, Fengshou, Ball, Andrew


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  6. 6
    A Fault Tree for Reliability Analysis of an Intercity Train Door

    A Fault Tree for Reliability Analysis of an Intercity Train Door von Louadah, Hassna, Mistry, Pritesh, Tucker, Gareth


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  7. 7
    Exploring Acceleration Data Resulting from Passenger Discomfort in a Railway Vehicle by Using Machine Learning

    Exploring Acceleration Data Resulting from Passenger Discomfort in a Railway Vehicle by Using Machine Learning von Sirirangsee, Phornpavee, Iwnicki, Simon, Louadah, Hassna, Mistry, Pritesh, Crosbee, David


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