121–140 von 942 Ergebnissen
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    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Virtual Sensors in Small Engines – Previous Successes and Promising Future Use Cases

    Ofner, Andreas Benjamin / Geiger, Bernhard / Sjoblom, Jonas et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Clutch Housing Temperature Prediction during Repeat Restart Test Using Machine Learning

    Sahu, Dilip / Kulkarni, Prasad Ramesh | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data

    Thiem, Christoph / Weber, Nico / Konigorski, Ulrich | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Deep Learning Based Automotive Requirements Analysis

    Ansari, Asadullah / P.C., Karthik / D H, Sharath et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Impact Ice Microstructure Segmentation Using Transfer Learned Model

    Giuffre, Christopher / Stuckner, Joshua / Chen, Ru-Ching | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Intersection Traffic Safety Evaluation Using Potential Energy Filed Method

    Wu, Biao / Zhou, Xiaojun / Zhu, Xichan et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prediction of Buckling and Maximum Displacement of Hood Oilcanning Using Machine Learning

    S, Aravamuthan / S Kangde, Suhas | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    The usage of connected vehicle data combined with data analytics methods on the quality impacting factors mapping for engine and transmission mounts

    Ferraz, Fabio G. / Sarracini Jr, Fernando / Lima, Jonathan et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Research of Vehicle Behavior Classification of Off-Road Motorcycles Using Gradient Boosting

    Tokunaga, Hisato / Inaba, Taichi / Higashi, Takayuki et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Investigations on Multiple Injection Strategies in a Common Rail Diesel Engine Using Machine Learning and Image-Processing Techniques

    Vaze, Abhijeet / Krishnasamy, Anand / Mehta, Pramod S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Road Snow Coverage Estimation Using Camera and Weather Infrastructure Sensor Inputs

    Siems-Anderson, Amanda / Walker, Curtis / Motallebiaraghi, Farhang et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Fuel Cell Hybrid Electric Vehicle Control: Driving Pattern Recognition Techniques to Improve Vehicle Energy Efficiency

    Cennamo, Edoardo / Grattarola, Federico / Pasqualini, Ferdinando et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Based Approach for Prediction of Hood Oilcanning Performances

    S, Aravamuthan / Srinivasan, Arunkumar / Madhurya, Bellamkonda et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Flexible Architecture for Testing Connected Vehicles in Realistic Traffic

    Dudekula, Ahammad Basha / Naber, Jeffrey / Paki, Joseph E. et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    The Path to Safe Machine Learning for Automotive Applications

    Burton, Simon | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Usefulness and Time Savings Metrics to Evaluate Adoption of Digital Twin Technology

    Moss, Benjamin / Eddy, Conner / Morris, John et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Review of Digital Twin for Vehicle Predictive Maintenance System

    Wang, Chengwei / Fan, Ip-Shing / King, Stephen | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Visual odometry with depth-wise separable convolution and quaternion neural networks

    Freier Zugriff
    De Magistris G. / Comminiello D. / Napoli C. et al. | BASE | 2023
    Schlagwörter: learning approach

    SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model

    Sequoia R Andrade / Hannah S Walsh | NTRS | 2023
    Schlagwörter: Machine Learning