Synonyme wurden verwendet für: Maschinelles Lernen
Suche ohne Synonyme: keywords:("Maschinelles Lernen")

41–60 von 62 Ergebnissen
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    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Material Recognition Technology of Internal Loose Particles in Sealed Electronic Components Based on Random Forest

    Jiang, Aiping / Wang, Guotao / Yan, Huizhen et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Mild Hybrid Electric Vehicle Powertrain Control Using Offline–Online Hybrid Deep Reinforcement Learning Strategy

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Modeling Weather Impact on Airport Arrival Miles-in-Trail Restrictions

    Grabbe, Shon / Wang, Yao | SAE Technical Papers | 2013
    Schlagwörter: Machine learning

    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011
    Schlagwörter: Machine learning

    Multi-objective Optimization for Connected and Automated Vehicles Using Machine Learning and Model Predictive Control

    Zhu, Haojie / Hofmann, Heath / Feng, Shuo et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-part Analysis and Techniques for Air Traffic Speech Recognition

    Srinivasan, Narayanan / Balasundaram, S. R. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization

    Biteus, Jonas / Lindgren, Tony | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

    Dattaguru, B. / Nambisan, Savitha Narayanan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Remote Diagnosis, Maintenance and Prognosis for Advanced Driver Assistance Systems Using Machine Learning Algorithms

    Moawad, Eman Magdy / ElHelw, Mohamed / Diab, Mohammed et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency

    Pohlandt, Christian / Geimer, Marcus | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control

    Yoon, Hwan-Sik / Olson, Jordan / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    SmartDeviceLink as an Open Innovation Platform for Connected Car Features and Mobility Applications

    Yeung, Jeffrey / Gusikhin, Oleg / Makke, Omar et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020

    Straube, Frank / Poschmann, Peter / Weinke, Manuel et al. | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen

    Strategieplanungen für das hybride Recycling in der Automobilindustrie

    Wen Ya Fo | Tema Archiv | 1999
    Schlagwörter: maschinelles Lernen

    Supervised Learning Classification Applications in Fault Detection and Diagnosis: An Overview of Implementations in Unmanned Aerial Systems

    Francis, Clovis / Attieh, Hadi / Shraim, Hassan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning