Synonyme wurden verwendet für: Machine Learning
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1–20 von 520 Ergebnissen
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    Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform

    Chen, Chen / Zhang, Jingming / Chen, Qiushi et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Static Targets Recognition and Tracking Based on Millimeter Wave Radar

    GAO, Li / Zhao, Yanan / Zhang, Yu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Deep Ensemble Network Model for Refined Traffic Volume Prediction Considering Spatial-Temporal Features

    Tao, Lu / Zhou, Tian / Liu, Wan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Thin-Walled Compliant Mechanism Component Design Assisted by Machine Learning and Multiple Surrogates

    Tovar, Andres / Detwiler, Duane / Nutwell, Emily et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Driver Identification Using Multivariate In-vehicle Time Series Data

    Luo, Dawei / Guo, Gang / Lu, Jianbo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning and Response Surface-Based Numerical Optimization of the Combustion System for a Heavy-Duty Gasoline Compression Ignition Engine

    Mohan, Balaji / Badra, Jihad / Tang, Meng et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Effective Second Moment of Load Path (ESMLP) Method for Multiaxial Fatigue Damage and Life Assessment

    Dong, Pingsha / Pei, Xianjun / Wei, Zhigang | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Comprehensive Analysis of Methods to Write Requirements for Machine Learning Components used in Autonomous Vehicles

    Gil Batres, Andrea / Avalos Gonzalez, Carlos / Krishnamoorthy, Jayalekshmi et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Leveraging Historical Thermal Wind Tunnel Data for ML-Based Predictions of Component Temperatures for a New Vehicle Project

    Rottengruber, Hermann / Freytag, Lukas / Enke, Wolfram | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Short-Term Traffic Flow Prediction Algorithm for Expressway Based on Long Short-Term Memory and Support Vector Regression

    Wang, Hong Fei / Chang, Hui / Zhou, Jing Mei et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Toward a Framework for Highly Automated Vehicle Safety Validation

    Wagner, Michael / Koopman, Philip | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning

    Hernandez, Jorge / Nayak, Sameer / Saini, Sandeep | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Intelligent Classification of Automotive Horn Sound Quality

    Mollah, Asfak / Mahanta, Tapan K. / Balide, Venkatesham | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Aeroengine Gas Path Parameter Trend Prediction Based on LSTM

    Zhou, Qifeng / Chen, Xiaonan / Qing, Xinlin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning