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1–20 von 37 Ergebnissen
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    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

    Du, Zhuo / Miao, Qiheng / Zong, Changfu | Springer Verlag | 2020
    Schlagwörter: Deep reinforcement learning

    Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network

    Zhang, Hong / Wang, Hongyan / Chen, Linlong et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals

    Kim, Min-Hyun / Park, Jongchan / Choi, Seibum | Springer Verlag | 2021
    Schlagwörter: Machine-learning

    Road identification in monocular color images using random forest and color correlogram

    Choi, J. H. / Song, G. Y. / Lee, J. W. | Springer Verlag | 2012
    Schlagwörter: Learning paradigm

    Research on Intelligent Decision Based on Compound Traffic Field

    Luo, Yutao / Dai, Jinkun / Li, Hongluo | Springer Verlag | 2021
    Schlagwörter: Reinforcement learning

    Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism

    Zhao, Guanglei / Chen, Zihao / Liao, Weiming | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning

    Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition

    Nam, Deok Ho / Kim, Gyeong Pil / Baek, Keon Hee et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning algorithms

    Pedestrian Collision Avoidance Using Deep Reinforcement Learning

    Rafiei, Alireza / Fasakhodi, Amirhossein Oliaei / Hajati, Farshid | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning , Car Learning to Act (CARLA)

    Novel Semi-supervised Fault Diagnosis Method Combining Tri-training and Deep Belief Network for Charging Equipment of Electric Vehicle

    Gao, Dexin / Lin, Xihao / Zheng, Xiaoyu et al. | Springer Verlag | 2022
    Schlagwörter: Semi-supervised learning

    New Optimal Power Management Strategy for Series Plug-In Hybrid Electric Vehicles

    Taherzadeh, Erfan / Javadi, Shahram / Dabbaghjamanesh, Morteza | Springer Verlag | 2018
    Schlagwörter: Teaching-Learning Based Optimization (TLBO)

    Neural-empirical tyre model based on recursive lazy learning under combined longitudinal and lateral slip conditions

    Boada, M. J. L. / Boada, B. L. / Garcia-Pozuelo, D. et al. | Springer Verlag | 2011
    Schlagwörter: Recursive Lazy learning

    Model Predictive Adaptive Cruise Control of Intelligent Electric Vehicles Based on Deep Reinforcement Learning Algorithm FWOR Driver Characteristics

    Guo, Jinghua / Li, WenChang / Luo, Yugong et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning algorithm

    Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression

    Han, Ling / Wang, Yiren / Chi, Ruifeng et al. | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Learning To Recognize Driving Patterns For Collectively Characterizing Electric Vehicle Driving Behaviors

    Lee, Chung-Hong / Wu, Chih-Hung | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Knock Onset Determination with 1D CNN Using Random Search Hyperparameter Optimization and Data Augmentation in SI Engine

    Park, Jihwan / Shin, Seunghyup / Oh, Sechul et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine

    Min, Kyunghan / Sunwoo, Myoungho / Han, Manbae | Springer Verlag | 2018
    Schlagwörter: Learning control , Iterative learning control

    Hyperparameters of Q-Learning Algorithm Adapting to the Driving Cycle Based on KL Driving Cycle Recognition

    Yin, Yanli / Huang, Xuejiang / Pan, Xiaoliang et al. | Springer Verlag | 2022
    Schlagwörter: Q-Learning