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41–60 von 1,094 Ergebnissen
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    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation

    Zhao, Chenyang / Chu, Duanfeng / Zhang, Mingshuai et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair

    Kulkarni, Makarand / DIXIT, YASHANSHU | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Semantic Segmentation with High Inference Speed in Off-Road Environments

    Selee, Bradley / Faykus, Max / Smith, Melissa | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning

    Zhang, Jian / Qian, Pinzheng / Qi, Xinyue | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug

    Kreß, Viktor | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    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

    A Comparison Study on Control Strategies for Optimization of an Anti-Lock Brake System Algorithm Based on Tire Force Measurement in Pure and Combined Slip Conditions of an Automobile

    Mehta, Harshal Piyush / Maurya, Mithilesh / Shaikh, Parvez Shagir et al. | SAE Technical Papers | 2023
    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

    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

    Advanced optimal control and applications involving critic intelligence

    Wang, Ding / Ha, Mingming / Zhao, Mingming | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen , Machine learning

    Predictive Model Development Using Machine Learning for Engine Cranktrain System

    S, Aravamuthan / Sharma, Ayush / K, Karthikeyan et al. | SAE Technical Papers | 2023
    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

    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

    Comparison of Deep Learning Architectures for Dimensionality Reduction of 3D Flow Fields of a Racing Car

    Hilbert, Marc / Reck, Michaela / Hilhorst, René et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach

    Vermeire, Florence / Verhelst, Sebastian / Larsson, Tara | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Analytic Study of China’s Latest New Energy Vehicle Market Subsidies in Facing of the Carbon Neutrality Goal

    Li, Xinyi / Wan, Yaya / Liao, Yuhong et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning