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    A data-driven operational model for traffic at the Dallas Fort Worth International Airport

    Lunacek, Monte / Williams, Lindy / Severino, Joseph et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Reinforcement Learning based Energy Management of Multi-Mode Plug-in Hybrid Electric Vehicles for Commuter Route

    Wang, Pengyue / Northrop, William | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Dynamic Load Identification for Battery Pack Bolt Based on Machine Learning

    Sheng, Deke / Liu, Ruixue / Wang, Shuyu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence

    Lee, Dongchul / Yoo, Dongkyu / Jung, Insoo et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data

    Corrado, Samantha J. / Puranik, Tejas G. / Fischer, Olivia Pinon et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration

    Winward, Edward / Mohd Azmin, Farraen / Rutledge, John et al. | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Developing Artificial Intelligence (AI) and Machine Learning (ML) Based Soft Sensors for In-Cylinder Predictions with a Real-Time Simulator and a Crank Angle Resolved Engine Model

    James, Corey / Jane, Robert / Rose, Samantha et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Optimization of One versus All-SVM using AdaBoost algorithm for rainfall classification and estimation from multispectral MSG data

    Belghit, Amar / Lazri, Mourad / Ouallouche, Fethi et al. | Elsevier | 2022
    Schlagwörter: Machine Learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTRS
    Schlagwörter: Machine Learning

    Quantum Artificial Intelligence and NASA

    Lucas T. Brady | NTRS
    Schlagwörter: Machine Learning

    A literature review of machine learning algorithms for crash injury severity prediction

    Santos, Kenny / Dias, João P. / Amado, Conceição | Elsevier | 2021
    Schlagwörter: Machine learning

    Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles

    Wu, Guangqiang / Zhang, Xianhong / Li, Xiaoyun et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal

    Vaithiyanathan, Muralidharan / Durairaj, Pradeep Kumar | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning

    Zhang, Jian / Qian, Pinzheng / Qi, Xinyue | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Neural network based feedback optimal control for pinpoint landers under disturbances

    Mulekar, Omkar S. / Cho, Hancheol / Bevilacqua, Riccardo | Elsevier | 2023
    Schlagwörter: Machine learning

    Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs

    Freier Zugriff
    Bom, Luuk / Henken, Ruud / Wiering, Marco | BASE | 2013
    Schlagwörter: Reinforcement learning , Machine learning

    A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data

    Bagheri, Hossein | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

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