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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. | Online Contents | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform

    Chen, Chen / Zhang, Jingming / Chen, Qiushi et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Static Targets Recognition and Tracking Based on Millimeter Wave Radar

    GAO, Li / Zhao, Yanan / Zhang, Yu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Input-Decoupled Q-Learning for Optimal Control

    Phan, Minh Q. / Azad, Seyed Mahdi B. | Online Contents | 2019
    Schlagwörter: Reinforcement learning , Q-learning

    A Deep Ensemble Network Model for Refined Traffic Volume Prediction Considering Spatial-Temporal Features

    Tao, Lu / Zhou, Tian / Liu, Wan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Thin-Walled Compliant Mechanism Component Design Assisted by Machine Learning and Multiple Surrogates

    Tovar, Andres / Detwiler, Duane / Nutwell, Emily et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Deep learning and big data for intelligent transportation : enabling technologies and future trends

    Ahmed, Khaled R. / Hassanien, Aboul Ella | TIBKAT | 2021
    Schlagwörter: Deep learning

    Driver Identification Using Multivariate In-vehicle Time Series Data

    Luo, Dawei / Guo, Gang / Lu, Jianbo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Deep reinforcement learning-based energy management for hybrid electric vehicles

    Li, Yeuching / He, Hongwen | TIBKAT | 2022
    Schlagwörter: Deep learning (Machine learning)

    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep learning of user behavior in shared spaces

    Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning of user behavior in shared spaces

      Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Machine Learning and Response Surface-Based Numerical Optimization of the Combustion System for a Heavy-Duty Gasoline Compression Ignition Engine

    Mohan, Balaji / Badra, Jihad / Tang, Meng et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Effective Second Moment of Load Path (ESMLP) Method for Multiaxial Fatigue Damage and Life Assessment

    Dong, Pingsha / Pei, Xianjun / Wei, Zhigang | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Leveraging Historical Thermal Wind Tunnel Data for ML-Based Predictions of Component Temperatures for a New Vehicle Project

    Rottengruber, Hermann / Freytag, Lukas / Enke, Wolfram | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Learning Framework for Robust Obstacle Detection, Recognition, and Tracking

    Nguyen, Vinh Dinh | Online Contents | 2017
    Schlagwörter: unsupervised learning , Machine learning , Deep learning

    A Comprehensive Analysis of Methods to Write Requirements for Machine Learning Components used in Autonomous Vehicles

    Gil Batres, Andrea / Avalos Gonzalez, Carlos / Krishnamoorthy, Jayalekshmi et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A novel passenger flow prediction model using deep learning methods

    Liu, Lijuan | Online Contents | 2017
    Schlagwörter: Deep learning

    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 2020
    Schlagwörter: Machine learning

    Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps

    Florence, Pete / Carter, John / Tedrake, Russ | TIBKAT | 2020
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

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