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1–50 von 467 Ergebnissen
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    Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage

    Gorecky, Dominic / Mura, Katharina / Falkenhausen, Iulia von et al. | Tema Archiv | 2013
    Schlagwörter: Lernprozess

    A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion

    Costa, Marco / Bianchi, Gian Marco / Forte, Claudio et al. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Schlagwörter: Machine learning , Q-learning

    Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons

    Rampeltshammer, Martin / Deiml, Mathias / Heesche, Kai et al. | Tema Archiv | 2008
    Schlagwörter: Lernprozess

    Recent Advances in Robotic Systems

    Freier Zugriff
    Wang, Guanghui | TIBKAT | 2016
    Schlagwörter: Machine learning

      Recent Advances in Robotic Systems

      Freier Zugriff
      Wang, Guanghui | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2016
      Schlagwörter: Machine learning

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning , Machine Learning , Reinforcement Learning

    Untersuchung einer speziesbasierten Abgasstrahlanalyse zur automatisierten Detektion von Brennkammerschäden in Flugtriebwerken

    Haar, Henrik / TEWISS - Technik und Wissen GmbH / Gottfried Wilhelm Leibniz Universität Hannover | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

      Untersuchung einer speziesbasierten Abgasstrahlanalyse zur automatisierten Detektion von Brennkammerschäden in Flugtriebwerken

      Haar, Henrik / TEWISS - Technik und Wissen GmbH / Gottfried Wilhelm Leibniz Universität Hannover | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Maschinelles Lernen

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    K. C. Wu / J. S. Litt | NTIS | 2023
    Schlagwörter: Machine learning , Reinforcement learning

    Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

    Liu, Teng | TIBKAT | 2019
    Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)

      Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles

      Liu, Teng | TIBKAT | 2019
      Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS
    Schlagwörter: Machine Learning , Reinforcement Learning

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    J. M. Cloud / R. J. Nieves / A. K. Duke et al. | NTIS | 2021
    Schlagwörter: Reinforcement learning

      Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

      J. M. Cloud / R. J. Nieves / A. K. Duke et al. | NTIS | 2021
      Schlagwörter: Reinforcement learning , Machine learning

    Knowledge Management

    Rogers, Edward W. | Wiley | 2011
    Schlagwörter: case‐based learning , learning practices , sustainable learning , organizational learning , learning organization

    Fast reinforcement learning algorithm for motion planning of nonholonomic autonomous underwater vehicle in disturbance

    Kawano, H. / Ura, T. | Tema Archiv | 2002
    Schlagwörter: Lernen , verstärktes Lernen

    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Case-based adaptation for automotive engine electronic control unit calibration

    Vong, Chi-man / Wong, Pak-Kin | Tema Archiv | 2010
    Schlagwörter: Lernen

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    Kristin C. Wu / Jonathan S Litt | NTRS | 2023
    Schlagwörter: Machine Learning , Reinforcement Learning

    Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

    D. Billman / B. Baron / R. J. Mumaw | NTIS | 2023
    Schlagwörter: Learning , Learning analysis , Learning design

    Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens

    Kollmar, Dirk | TIBKAT | 2002
    Schlagwörter: Maschinelles Lernen

    Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

    Dorrit Billman / Barth Baron / Randall J. Mumaw | NTRS
    Schlagwörter: learning analysis , learning design , learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps

    Florence, Pete / Carter, John / Tedrake, Russ | TIBKAT | 2020
    Schlagwörter: Machine learning

    Cluster-Based Flight Trajectory Outlier Detection

    M. Forney / B. Sridhar / K. Freeman | NTIS | 2021
    Schlagwörter: Machine learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Pattern matching as the nucleus for either autonomous driving or driver assistance systems

    Krodel, N. / Kuhnert, K.D. | Tema Archiv | 2003
    Schlagwörter: Lernen , verstärktes Lernen

    Evolutionary Computation Methods for Helicopter Loads Estimation

    Valdes, Julio J. / Cheung, Catherine / Wang, Weichao | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    Gaussian processes and reinforcement learning for identification and control of an autonomous blimp

    Ko, J. / Klein, D.J. / Fox, D. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , verstärktes Lernen

    Bridges across borders: A clustering approach to support EU regional policy

    Christodoulou, Aris / Christidis, Panayotis | Elsevier | 2020
    Schlagwörter: Machine learning

    A demonstration of artificial neural-networks-based data mining for gas-turbine-driven compressor stations

    Botros, K.K. / Kibrya, G. / Glover, A. | Tema Archiv | 2002
    Schlagwörter: Lernprozess

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques

    Jena, Amit Kumar / Potru, Sai Sudhamsa / Balaji, Deepak Raghavan et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning , Transfer learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTIS | 2024
    Schlagwörter: Machine learning

    Cluster-Based Flight Trajectory Outlier Detection

    Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS
    Schlagwörter: Machine Learning

    Memory-based in situ learning for unmanned vehicles

    McDowell, P. / Bourgeois, B.S. / Sofge, D.A. et al. | Tema Archiv | 2006
    Schlagwörter: Lernen

    Dynamic modelling of travellers’ social interactions and social learning

    Sunitiyoso, Yos / Avineri, Erel / Chatterjee, Kiron | Elsevier | 2013
    Schlagwörter: Social learning

    Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning

    Freier Zugriff
    Kai, Zhang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Deep Learning

    Soziotechnisches Assistenzsystem zur lernförderlichen Arbeitsgestaltung in der robotergestützten Montage

    Freier Zugriff
    Albu-Schäffer, Alin Olimpiu / Huchler, Norbert / Kessler, Ingmar et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2023
    Schlagwörter: Arbeitsimmanentes Lernen

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    L'agenda istruttore condotta elettronica (AGISCO)

    Lombardi, Daniela | IuD Bahn | 2007
    Schlagwörter: Betriebliches Lernen

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Machine learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

    Joshua Stuckner | NTRS
    Schlagwörter: machine learning , deep learning