Synonyme wurden verwendet für: learning
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1–20 von 37 Ergebnissen
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    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

    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

    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

    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

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine 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

    Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning

    Hu, Jinchao / Li, Xu / Hu, Weiming et al. | Springer Verlag | 2023
    Schlagwörter: Imitation learning , Deep reinforcement learning

    Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

    Park, Jeong Jun / Lee, Sangyul / Shin, Seunghyup et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas

    Endo, Yuki / Javanmardi, Ehsan / Gu, Yanlei et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Fuel-Saving Control Strategy for Fuel Vehicles with Deep Reinforcement Learning and Computer Vision

    Han, Ling / Liu, Guopeng / Zhang, Hui et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning (DRL)

    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

    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

    Application of Physical Model Test-Based Long Short-Term Memory Algorithm as a Virtual Sensor for Nitrogen Oxide Prediction in Diesel Engines

    Shin, Dalho / Jo, Seongin / Kim, Hyung Jun et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    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)

    Algorithm for Detecting the Critical Elements of Airborne Radar Systems Based on Operational Analysis of Diagnostic Information Time Series

    Shevtsov, V. A. / Timoshenko, A. V. / Perlov, A. Yu. et al. | Springer Verlag | 2022
    Schlagwörter: machine learning

    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

    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

    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

    An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

    Wang, Dan / Wang, Canye / Wang, Yulong et al. | Springer Verlag | 2021
    Schlagwörter: Trajectory learning