Synonyms were used for: Lernen Maschinelles Lernen
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51–79 of 79 hits
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    A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning

    Zhu, Xuebin / Yu, Zhenghong | SAE Technical Papers | 2023
    Keywords: 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
    Keywords: Machine learning

    Prediction of Vehicle Cabin Occupant Thermal Comfort Using Deep Learning and Computational Fluid Dynamics

    Warey, Alok / Khalighi, Bahram / Venkatesan, Ganesh et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Deep Learning-Based Queue-Aware Eco-Approach and Departure System for Plug-In Hybrid Electric Buses at Signalized Intersections: A Simulation Study

    Esaid, Danial / Ye, Fei / Wu, Guoyuan et al. | SAE Technical Papers | 2020
    Keywords: Machine learning

    RouteE: A Vehicle Energy Consumption Prediction Engine

    Holden, Jacob / Cappellucci, Jeff / Reinicke, Nicholas | SAE Technical Papers | 2020
    Keywords: Machine learning

    A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles

    Dubey, Abhishek / Laszka, Aron / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Physics-Based Misbehavior Detection System for V2X Communications

    Andrade Salazar, Alejandro Antonio / Petit, Jonathan / McDaniel, Patrick Drew et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads

    Hamersma, Herman A. / Abreu, Ricardo / Botha, Theunis R. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Ride Comfort Improvement with Preview Control Semi-active Suspension System Based on Supervised Deep Learning

    Gu, Cansong / Shi, Chenlu / Su, Lili et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Hierarchical Bayesian Networks for Predicting the Structural Behavior of Coupled Systems

    Stoll, Georg / Atzrodt, Heiko / Schmidt, Hendrik et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Smart OTA Scheduling for Connected Vehicles using Prescriptive Analytics and Deep Reinforcement Learning

    Mohd Azmin, Farraen / Mustafa, Kenan | SAE Technical Papers | 2022
    Keywords: 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
    Keywords: Machine learning

    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Keywords: 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
    Keywords: Machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Keywords: Machine learning

    CAVTest: A Closed Connected and Automated Vehicles Test Field of Chang’an University in China

    Yang, Lan / Wang, RunMin / Zhao, XiangMo et al. | SAE Technical Papers | 2021
    Keywords: 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
    Keywords: Machine learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Keywords: Machine learning

    Connected On-Board Inert Gas Generation System with Real-Time Data Access & Machine Learning Approach for Predictive / Prognostics Maintenance

    MorkondaHaribapu cEng, Arvind / Rao cEng, Manjunatha / Kumar, Naveen et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    ERRATUM

    Zhou, Bing / Gan, Nianfei / Chai, Tian et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Machine Learning Based Model Development with Annotated Database for Indian Specific Object Detection

    Kale, Jyoti / Karle, Manish / Pachhapurkar, Ninad et al. | SAE Technical Papers | 2021
    Keywords: Machine learning

    Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2022
    Keywords: Machine learning

    Cyber-Physical Systems Security Engineering Plan (CPSSEP)

    SAE Technical Papers | 2022
    Keywords: Machine learning

    Application of a Digital Twin Virtual Engineering Tool for Ground Vehicle Maintenance Forecasting

    Wagner, Adam / Eddy, Conner / Wagner, JOHN et al. | SAE Technical Papers | 2022
    Keywords: Machine learning

    Artificial Intelligence in Aeronautical Systems: Statement of Concerns

    SAE Technical Papers | 2021
    Keywords: Machine learning

    The Path to Safe Machine Learning for Automotive Applications

    Burton, Simon | SAE Technical Papers | 2023
    Keywords: Machine learning

    Prognostics for Aerospace Propulsion Systems

    SAE Technical Papers | 2020
    Keywords: Machine learning