Synonyme wurden verwendet für: Machine Learning
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101–120 von 520 Ergebnissen
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    Classification of Time Series Measurement Data for Shift Control of Automatic Transmission of Vehicles Using Machine Learning Techniques

    Moriyama, Eiji / Nakagawa, Hiroshi / Miyake, Noriyuki et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Comfort Improvement for Autonomous Vehicles Using Reinforcement Learning with In-Situ Human Feedback

    Xiang, Jun / Guo, Longxiang | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Subway Obstacle Detection System Based on Multi-sensor Data Fusion

    Xue, Dan / Zhou, Mingyu / Feng, Rui et al. | SAE Technical Papers | 2022
    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

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation

    Ayyad, Ahmed / Prohm, Christopher / Hilbert, Marc et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning

    Freis, Amanda / Huff, Garret / Huang, Li et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Forward Collision Warning System Using Deep Reinforcement Learning

    Dargahi, Javad / Zadeh, Mehrdad / Fekri, Pedram et al. | SAE Technical Papers | 2020
    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

    “Ease of Driving” Road Classification for Night-time Driving Conditions

    Oguchi, Kentaro / Pillai, Preeti J. / Yalla, Veeraganesh | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    A Hybrid System and Method for Estimating State of Charge of a Battery

    Gogate, Aditya / Chakraborty, Debango / Ghivari, Mahesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Development and Assessment of Machine-Learning-Based Intake Air Charge Prediction Models for a CNG Engine

    Ni, Jimin / Zhang, Peng / Shi, Xiuyong | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Backseat Driver - Driver Advisory System

    Abhyankar, Ranjit Vinayak / A, Sreenath | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Research on Subjective Rating Prediction Method for Ride Comfort with Learning

    Akai, Akihito / Ichimaru, Nobuyuki / Hirao, Ryusuke | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution

    Sauer, Maximilian / Kundu, Subrata / Wingert, Tobias et al. | SAE Technical Papers | 2020
    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

    Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement

    Ren, Chao / Wu, Haibo / Zhou, Hua et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vehicle Following Hybrid Control Algorithm Based on DRL and PID in Intelligent Network Environment

    Hu, Bo / Chen, Jiahui / Tan, Senlin et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident

    Howlader, Ashim | SAE Technical Papers | 2021
    Schlagwörter: Machine learning