Synonyme wurden verwendet für: Maschinelles Lernen
Suche ohne Synonyme: keywords:("Maschinelles Lernen")

1–20 von 85 Ergebnissen
|

    Acceptance of Smart Automated Comfort Functionalities in Vehicles

    Guinea, Maria / Stang, Marco / Nitsche, Irma et al. | TIBKAT | 2021
    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 Deep Learning-Based Strategy to Initiate Diesel Particle Filter Regeneration

    Roettger, Daniel / De Smet, Frederik / Fan, Ke et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hybrid System and Method for Estimating State of Charge of a Battery

    Gogate, Aditya / Chakraborty, Debango / Ghivari, Mahesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing

    Moiz, Ahmed Abdul / Probst, Daniel / Kodavasal, Janardhan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Anomaly Detection, Active Learning, Precursor Identification,and Human Knowledge for Autonomous System Safety

    Nikunj C Oza / Kevin M Bradner / David L Iverson et al. | NTRS | 2021
    Schlagwörter: machine learning

    Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding

    Rothwell, Benjamin / Rengasamy, Divish / Figueredo, Grazziela P. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV

    Spessa, Ezio / Venditti, Mattia / Finesso, Roberto | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Application of the Apriori Algorithm for Traffic Crash Analysis in Thailand

    Freier Zugriff
    Ittirit Mohamad / Rattanaporn Kasemsri / Vatanavongs Ratanavaraha et al. | DOAJ | 2023
    Schlagwörter: machine learning

    A Reduced-Order Modeling Framework for Simulating Signatures of Faults in a Bladed Disk

    Agrawal, Atul / Roy Mahapatra, Debiprosad / Singh, Divya Shyam | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Review of Intelligence-Based Vehicles Path Planning

    Hao, Bing / Zhao, JianShuo / Wang, Qi | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Time-Saving Methodology for Optimizing a Compression Ignition Engine to Reduce Fuel Consumption through Machine Learning

    Arab, Majid / Rahnama, Pourya / Reitz, Rolf D. | SAE Technical Papers | 2020
    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

    Autonomous Transport Innovation: A Review of Enabling Technologies

    M. T. Gross / J. L. Webster | NTIS | 2021
    Schlagwörter: Machine learning

    Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments

    Drouot, Adrien / Zhao, Ran / Ratchev, Svetan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Ganasan, Shatiskumar / Sazali, Norazlianie | Springer Verlag | 2024
    Schlagwörter: Machine learning

    CNN-Based Car Damage Detection

    Naganandini, G. / Adarak, Shubhodeep / Bagel, Prashanth | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    CrossTalk: The Journal of Defense Software Engineering. Volume 28, Number 4, July/August 2015

    B. Ellis / C. Kelly | NTIS | 2015
    Schlagwörter: Machine learning , Supervised machine learning