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keywords:(learning)

    Prediction of Hourly Power Consumption for a Central Air-Conditioning System Based on Different Machine Learning Methods

    Gao, Si-qi / Zou, Fu-min / Jiang, Xin-hua et al. | Springer Verlag | 2017
    Schlagwörter: Machine learning methods , Ensemble learning

    Intelligent Smart Transport System Using Internet of Vehicular Things—A Review

    Vinodhini, M. / Rajkumar, Sujatha | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine learning

    Target Filtering and Tracking

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    The Radar Equation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Towards a Framework for Comparing the Complexity of Robotic Tasks

    Ho, Michelle / Farid, Alec / Majumdar, Anirudha | Springer Verlag | 2022
    Schlagwörter: Reinforcement learning

    Fundamentals of Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Beach Wrack Identification on Unmanned Aerial Vehicles Dataset Using Artificial Intelligence for Coastal Environmental Management

    Adimoolam, M. / Maithili, K. / Leelavathy, S. et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine learning

    A Survey: Learning-Based Energy Management Strategy for Heterogeneous Multi-energy Drive System

    Ren, Xiaoyu / Zhang, Xinyue / Duan, Dangwei et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning , Deep reinforcement learning

    Target Recognition and Classification Techniques

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Research on Railway Geological Hazard Detection Method Based on Few-Shot Deep Learning

    Chen, Junming / Xie, Zhengyu / Jia, Limin et al. | Springer Verlag | 2022
    Schlagwörter: Few-shot learning , Transfer 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

    Adaptive Critic with Improved Cost for Discounted Tracking and Novel Stability Proof

    Wang, Ding / Ha, Mingming / Zhao, Mingming | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Machine Learning

    Self-Learning Optimal RegulationOptimal regulation with Event-Driven Iterative Adaptive CriticIterative adaptive critic

    Wang, Ding / Ha, Mingming / Zhao, Mingming | Springer Verlag | 2023
    Schlagwörter: Self-learning control , Machine Learning

    Input-Decoupled Q-Learning for Optimal Control

    Phan, Minh Q. / Azad, Seyed Mahdi B. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning , Q-learning

    Road Environment Perception for Safe and Comfortable Driving

    Guo, Sicen / Jiang, Yu / Li, Jiahang et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Review of Advanced Driver Assistance Systems and Their Applications for Collision Avoidance in Urban Driving Scenario

    Narkhede, Manish M. / Chopade, Nilkanth B. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine Learning

    Bird’s Eye View Perception for Autonomous Driving

    Du, Jiayuan / Su, Shuai / Fan, Rui et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Machine Learning Technologies in Internet of Vehicles

    Ali, Elmustafa Sayed / Hassan, Mona Bakri / Saeed, Rashid A. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Deep 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