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21–40 von 177 Ergebnissen
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    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 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

    Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control

    Yoon, Hwan-Sik / Olson, Jordan / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data

    Alawad, Hamad / Saito, Motoyasu / Kaewunruen, Sakdirat et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

    Dattaguru, B. / Nambisan, Savitha Narayanan | 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

    Taking to the Skies: Developing a Dedicated MSc Course in Aviation Human Factors

    Stedmon, Alex W. / Grant, Rebecca / Harris, Don et al. | Springer Verlag | 2018
    Schlagwörter: Distance learning , Bespoke learning

    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    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

    A Review of Intelligence-Based Vehicles Path Planning

    Hao, Bing / Zhao, JianShuo / Wang, Qi | SAE Technical Papers | 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

    Machine-Learning-Based Emission Models in Gasoline Powertrains—Part 2: Virtual Carbon Monoxide

    Sharpe, Conner / Kubinski, David / Shahabi, Mehrdad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Proposed VR Simulator with Ability to Discriminate Velocity of Approaching Car

    Aoyama, S. / Terata, Y. / Saruta, K. et al. | DataCite | 2016
    Schlagwörter: Collaborative learning

    Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration

    Schulz, Albert / Duppe, Benjamin / Vette, Matthias et al. | SAE Technical Papers | 2019
    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

    Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products

    Freier Zugriff
    Pargieła Karolina | DOAJ | 2022
    Schlagwörter: deep learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Review of Advanced Driver Assistance Systems and Their Applications for Collision Avoidance in Urban Driving Scenario

    Narkhede, Manish M. / Chopade, Nilkanth B. | Springer Verlag | 2021
    Schlagwörter: Machine learning , 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