Synonyme wurden verwendet für: Machine learning
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41–60 von 115 Ergebnissen
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    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

    Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems

    Dan Wesely / Andrew Churchill / John Slough et al. | NTRS | 2021
    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

    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

    Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

    Upadhyay, Devesh / Yang, Hang / Shui, Huanyi et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop

    Ruperez lng, Adrián / Martinez, Aitor / Lopez, Blanca et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors

    Pasqualon, Aurélie / Facteau, Elizabeth / Bultel, Etienne et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks

    Warey, Alok / Gao, Jian / Grover, Ronald | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Analysis and Interpretation of Data-Driven Closure Models for Large Eddy Simulation of Internal Combustion Engine

    Daly, Conor / Schmidt, David / Haghshenas, Majid et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers

    Reddy, C. J. / Karuppuswami, Saranraj | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control

    Yuan, Huan / Zhou, Huaxiang / Nguyen, Vanliem | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning-Based Eco-Approach and Departure: Real-Time Trajectory Optimization at Connected Signalized Intersections

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-objective Optimization for Connected and Automated Vehicles Using Machine Learning and Model Predictive Control

    Zhu, Haojie / Hofmann, Heath / Feng, Shuo et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Clustering-Based Trajectory Prediction of Vehicles Interacting with Vulnerable Road Users

    Sonka, Adrian / Henze, Roman / Thal, Silvia | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Developing Prediction Based Algorithms for Energy and Exergy Flow

    Kim, CDT Tae / James, LTC Corey / Jane, Robert | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning Based Parameter Calibration for Multi-Scale Material Modeling of Laser Powder Bed Fusion (L-PBF) AlSi10Mg

    Xu, Hongyi / Lai, Wei-Jen / Su, Xuming et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Development of Coated Gasoline Particulate Filter Design Method Combining Simulation and Multi-Objective Optimization

    Takahasi, Hiroaki / Maekawa, Ryosuke / Ota, Yuki | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Artificial Intelligence for Damage Detection in Automotive Composite Parts: A Use Case

    Ciampaglia, Alberto / De Gregorio, Alessandro / Mastropietro, Antonio et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning