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81–100 von 722 Ergebnissen
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    Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning

    Khatavkar, Akshay / Sahu, Dilip / Belur, Nikhil et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

    Meng, Chao / Wang, Hanchao / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Decentralized Multi-agent Energy Management Strategy Based on a Look-Ahead Reinforcement Learning Approach

    Khalatbarisoltani, Arash / Boulon, Loic / Kandidayeni, Mohsen et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Tuning of Turbulence Model Closure Coefficients Using an Explainability Based Machine Learning Algorithm

    Bounds, Charles Patrick / Uddin, Mesbah / Desai, Shishir | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Driver Distraction Detection with a Two-stream Convolutional Neural Network

    Nie, Linzhen / Ma, Yuefeng / Yin, Zhishuai | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning based Operation Strategy for EV Vacuum Pump

    Mullapudi, Dattatreyudu / Dake, Prudhvi / mohan, Somanathan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study

    Zhu, Feng / Zhou, Runzhou / Yang, Zaihan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Autoignition and Flame Properties for Multicomponent Fuels Using Machine Learning Techniques

    DelVescovo, Dan / Ge, Haiwen / Shah, Neel et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy

    März, Christian / Guehmann, Clemens / Behrendt, Frank et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach

    Xie, Biao / Wang, Bowen / Zhao, Dezong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models

    Weaver, Andrew / Chour, Kenny / Hassen, Samir et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Double Q-Learning Method for CAVs Traffic Signal Control

    Zhao, Chunxia / Lin, Peiqun / Liu, QingChao et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Development & Testing of a Camera-Based Driver Monitoring System

    Bhagat, Ajinkya / Kale, Jyoti Ganesh / Karle, Manish et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Energy Management Based on D4QN Reinforcement Learning for a Series-Parallel Multi-Speed Hybrid Electric Vehicle

    Zhuang, Caihua / Lou, Diming / Fang, Liang et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

    Singh, Anand Pratap | Online Contents | 2017
    Schlagwörter: Machine learning

    Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning

    Karvo, Anna / Santasalo-Aarnio, Annukka / Toldy, Arpad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Dual-Motor-BEV Controls Optimization

    Chopra, Ujjwal | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning

    Sun, Bowen / Lv, Fengyao / Zhou, Guilin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning