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    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

    Fu, Swee Tee / Lau, Bee Theng / Tee, Mark Kit Tsun et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Artificial Intelligence

    Guo, Zhiwei / Yu, Keping | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine learning AI , Supervised learning , Unsupervised learning , Semi-supervised learning , Reinforcement learning , Deep learning AI

    A Review on Behavioural Biometric GAIT Recognition

    Amogha, B. / Deshpande, Rohini | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning , Machine Learning

    Object Detection and Pattern Analysis in an Autonomous Car

    Kadwani, Rashmi / Pereira, Joshua / Thakur, Adya et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine Learning

    A Reinforcement Learning Method of Obstacle Avoidance for Industrial Mobile Vehicles in Unknown Environments Using Neural Network

    XIA, Chen / EL KAMEL, A. | Springer Verlag | 2015
    Schlagwörter: Q-learning , Reinforcement learning

    A Study on Web2.0 Blending Learning

    Cheng, Rui | Springer Verlag | 2012
    Schlagwörter: blending learning , learning model

    Modeling Human Motor Skills to Enhance Robots’ Physical Interaction

    Averta, Giuseppe / Arapi, Visar / Bicchi, Antonio et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Learning from humans

    A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management

    Prasad, K. Sai / Pasupathy, S. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning , Machine Learning

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