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1–20 von 48 Ergebnissen
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    Gain Customer Insights Using NLP Techniques

    Gokul, K. / Akella, Kanna / Choi, Keunho et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features

    Mouli, D.S.B. / Rameshkumar, K. / Shivith, K. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Multi-part Analysis and Techniques for Air Traffic Speech Recognition

    Srinivasan, Narayanan / Balasundaram, S. R. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011
    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

    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

    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

    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

    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

    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

    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

    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

    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