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41–50 von 457 Ergebnissen
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    Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet

    Meroux, Dominique / Tal, Gil | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    The Fault-Augmented Approach for the Systematic Simulation of Fault Behavior in Multi-Domain Systems in Aerospace

    Abel, Andreas / Kolesnikov, Artem / Andreev, Maxim | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    LiDAR Based Sensor Verification

    Jayaraman, Arvind / Ragunathan, Balakumar / Kurtz, Nathan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Learning Gasoline Direct Injector Dynamics Using Artificial Neural Networks

    Shibata, Jonathan / Lucido, Michael | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Study of machine learning algorithms to state of health estimation of iron phosphate lithium-ion battery used in fully electric vehicles

    Vieira, Daniel / Junior, Eloy M. O. / Cerri, Fernando et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics

    Palaniyandi, Balamurali / Khanuja, Gagandeep Singh / D H, Sharath et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories

    Suter, Jesse D. / Bauman, Mark / Mars, William V. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Effects of Thermal and Auxiliary Dynamics on a Fuel Cell Based Range Extender

    Jung, Daniel / Oruganti, Pradeep Sharma / Ahmed, Qadeer | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Improving Manufacturing Efficiencies through Industry 4.0 Technologies in Aerospace

    Nampuraja, Enose / Shankaraiah, Mahesh / Vasudevan, Ramji et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing System

    Medlock, Gregory / Khan, Nazmuzzaman / Graves, Scott et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning