Synonyme wurden verwendet für: Machine learning
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101–120 von 690 Ergebnissen
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    Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective

    Kumar, Amit / Raghavendran, Prasath / Mohammed, Riyazuddin et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis

    Nangare, Kapilraj / Nidubrolu, Kranthi / Gaikwad, Pooja | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    CNN-assisted Road Sign Inspection on the Computing Continuum

    Freier Zugriff
    Narges Mehran / Radu Prodan | BASE | 2023
    Schlagwörter: machine learning

    Refinement of Gaussian Process Regression Modeling of Pilot-Ignited Direct-Injected Natural Gas Engines

    Karpinski-Leydier, Michael / Kirchen, Patrick / Nagamune, Ryozo | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A European Study to identify Key Operational Parameters for ATFM Routing Decisions

    Freier Zugriff
    Derra, Manuel / Lau, Alexander / Gollnick, Volker | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

    Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning

    Khatavkar, Akshay / Sahu, Dilip / Belur, Nikhil et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot

    Michael Dupuis / Joe Cloud / Evan Bell et al. | NTRS
    Schlagwörter: machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

    Meng, Chao / Wang, Hanchao / Mei, Jinren et al. | SAE Technical Papers | 2023
    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

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Tuning of Turbulence Model Closure Coefficients Using an Explainability Based Machine Learning Algorithm

    Bounds, Charles Patrick / Uddin, Mesbah / Desai, Shishir | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Driver Distraction Detection with a Two-stream Convolutional Neural Network

    Nie, Linzhen / Ma, Yuefeng / Yin, Zhishuai | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning based Operation Strategy for EV Vacuum Pump

    Mullapudi, Dattatreyudu / Dake, Prudhvi / mohan, Somanathan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    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

    Prediction of Autoignition and Flame Properties for Multicomponent Fuels Using Machine Learning Techniques

    DelVescovo, Dan / Ge, Haiwen / Shah, Neel et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy

    März, Christian / Guehmann, Clemens / Behrendt, Frank et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach

    Xie, Biao / Wang, Bowen / Zhao, Dezong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Predicting Arrival and Departure Runway Assignments with Machine Learning

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning