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1–20 von 65 Ergebnissen
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    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    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

    Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management

    Xu, Bin / Wang, Hanchen / Zhang, Jiangfeng et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Mild Hybrid Electric Vehicle Powertrain Control Using Offline–Online Hybrid Deep Reinforcement Learning Strategy

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data

    Thiem, Christoph / Weber, Nico / Konigorski, Ulrich | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

    Freier Zugriff
    Nair, Deebul / Hochgeschwender, Nico / Olivares-Mendez, Miguel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Generalizability of Code Clone Detection on CodeBERT

    Freier Zugriff
    Sonnekalb, Tim / Gruner, Bernd / Brust, Clemens-Alexander et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning on code

    Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network

    Ma, Di / Zhang, Linxi / Yan, Xuke | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Evaluation of an Unhealthy Part Identification Using a 0D-1D Diesel Engine Simulation Based Digital Twin

    Sureka, Britant / Saurabh, Shakti | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Cyber-Physical Systems Security Engineering Plan (CPSSEP)

    SAE Technical Papers | 2022
    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

    Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 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

    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

    Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network

    Tan, Gangfeng / Feng, Jiaming / Tang, Jingning 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

    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

    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 2020
    Schlagwörter: Machine learning