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    Vehicle Behavior Learning via Sparse Reconstruction with \ell-\ell Minimization and Trajectory Similarity

    Chen, Zhi-Jun | Online Contents | 2017
    Schlagwörter: Learning systems , vehicle behavior learning

    Validity index in dynamic cell structures

    Liu, Yan / Cukic, B. / Yerramalla, S. et al. | Tema Archiv | 2005
    Schlagwörter: Lernen , Online-Lernen , adaptives Lernen

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Utilizing Machine Learning Algorithms in a Data-Driven Approach to the Prediction of Vehicle Battery State of Charge with BMW i3 Datasets

    Puri, Shreya | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Utilization of Ikaz and Direct Quadrature for Transient Test-Based Technique for Leakage Detection Purpose in Pipeline System

    Yusop, Hanafı M. / Ghazali, M. F. / Azmi, W. H. et al. | TIBKAT | 2021
    Schlagwörter: Machine learning.

    Utilization of Fuzzy Analytical Hierarchy Process (FAHP) and TOPSIS-AHP for Selecting the Best Plant Maintenance Strategy

    Kamaludin, K. N. / Abdullah, L. / Sheng, L. Y. et al. | TIBKAT | 2021
    Schlagwörter: Machine learning.

    Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking

    Kang, Ziho / Landry, Steven J. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Using Reinforcement Learning and Simulation to Develop Autonomous Vehicle Control Strategies

    Navarro, Anthony / Fanas Rojas, Johan / Goberville, Nick et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Polygot Persistence with NoSQL Databases for Streaming Multimedia, Sensor, and Messaging Services in Autonomous Vehicles

    Brown, Kyle W. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles

    Kapadia, Jimmy / Ahmed, N Khalid | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Using Deep Reinforcement Learning for Hybrid Electric Vehicle Energy Management under Consideration of Dynamic Emission Models

    Lorenz, Alexander / Bäker, Bernard / Fechert, Robert et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Using Deep Learning to Predict the Engine Operating Point in Real-Time

    Lakshmanan, Sridhar / Kolachalama, Srikanth | SAE Technical Papers | 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

    Using a Representative Driving Pattern Extraction Technique Modeling with Machine Learning, Development of Durability Test Mode

    Beun, Hye Jeong | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach

    Li, Zhong | Online Contents | 2017
    Schlagwörter: online reinforcement learning , Learning (artificial intelligence)

    Use of tribological and AI models on vehicle emission tests to predict fuel savings through lower oil viscosity

    Tomanik, Eduardo / Morais, Paulo / Tomanik, Victor | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Use of Machine Learning to Predict the Injuries of the Occupant of a Vehicle Involved in an Accident

    Howlader, Ashim | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control

    Egan, Daniel / Zhu, Qilun / Prucka, Robert et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors

    Pasqualon, Aurélie / Facteau, Elizabeth / Bultel, Etienne et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Use of convolutional neural network for sensor modeling and on-board diagnostic

    Provase, Ivan Sanches | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

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