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1–50 von 179 Ergebnissen
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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

    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

    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

    Multi-agent reinforcement learning for autonomous vehicles: a survey

    Freier Zugriff
    Dinneweth, Joris / Boubezoul, Abderrahmane / Mandiau, René et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent reinforcement learning , Machine Learning

    Autonomous maneuver strategy of swarm air combat based on DDPG

    Freier Zugriff
    Wang, Luhe / Hu, Jinwen / Xu, Zhao et al. | Springer Verlag | 2021
    Schlagwörter: Deep reinforcement learning , Machine Learning

    Machine Learning in Automotive Data Potential, Analytics Power

    Mukherjee, Debashis / Biswal, Rajesh | Springer Verlag | 2015
    Schlagwörter: Machine Learning , Machine Learning Algorithm

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier , Supervised 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)

    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

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

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

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Schlagwörter: Machine-learning regression , Supervised learning

    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles

    Wang, J. / Wang, Q. N. / Zeng, X. H. et al. | Springer Verlag | 2015
    Schlagwörter: Learning vector quantization

    Application of iterative learning control in tracking a Dubin’s path in parallel parking

    Panomruttanarug, Benjamas | Springer Verlag | 2017
    Schlagwörter: Iterative learning control

    Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

    Freier Zugriff
    Zhou, Wei / Chen, Dong / Yan, Jun et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent deep reinforcement 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

    Input-Decoupled Q-Learning for Optimal Control

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

    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

    Learning-based Control of a Spacecraft with Sloshing Propellant

    Angeletti, F. / Stolfi, A. / Gasbarri, P. | Springer Verlag | 2020
    Schlagwörter: Learning-based control

    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

    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

    Iterative Learning Control Inverse Problem Using Harmonic Frequency Filters

    Juang, Jer-Nan / Longman, Richard W. | Springer Verlag | 2021
    Schlagwörter: Iterative learning control , Learning cutoff

    Drowsy behavior detection based on driving information

    Wang, M. S. / Jeong, N. T. / Kim, K. S. et al. | Springer Verlag | 2016
    Schlagwörter: Ensemble machine learning method

    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

    A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator

    Stolfi, A. / Angeletti, F. / Gasbarri, P. et al. | Springer Verlag | 2019
    Schlagwörter: Deep Learning

    Modeling of aircraft fuel consumption using machine learning algorithms

    Baumann, S. / Klingauf, U. | Springer Verlag | 2020
    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

    A Review of Optimal Energy Management Strategies Using Machine Learning Techniques for Hybrid Electric Vehicles

    Song, Changhee / Kim, Kiyoung / Sung, Donghwan et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    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

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

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    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

    Evaluating Action Durations for Adaptive Traffic Signal Control Based On Deep Q-Learning

    CELTEK, Seyit Alperen / DURDU, Akif / ALI, Muzamil Eltejani Mohammed | Springer Verlag | 2021
    Schlagwörter: Reinforcement learning , Deep Q-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)

    Research on Intelligent Decision Based on Compound Traffic Field

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

    Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model

    Niyogisubizo, Jovial / Liao, Lyuchao / Sun, Qi et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine learning

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

    Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Springer Verlag | 2017
    Schlagwörter: machine learning

    Optimising Noise Of Future Passenger Car Diesel Engines

    Dipl.-Ing. Dipl.-Wirt.-Ing. Kremer, Florian / Dipl.-Ing. Schaub, Joschka / Dr.-Ing. Steffens, Christoph et al. | Springer Verlag | 2013
    Schlagwörter: Iterative Learning Control

    Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process

    Cho, Donghyuk / Lee, Youngseog | Springer Verlag | 2019
    Schlagwörter: Machine learning

    DCFS-Based Online Driving Preferences Learning Approach with Application to Personalized Lane Keeping Controller Design

    Chen, Jin / Sun, Dihua / Zhao, Min et al. | Springer Verlag | 2021
    Schlagwörter: Online learning

    Adaptive Control Strategy Extracted from Dynamic Programming and Combined with Driving Pattern Recognition for SPHEB

    Lin, Xinyou / Li, Hailin | Springer Verlag | 2019
    Schlagwörter: Learning vector quantization

    EGR Prediction of Diesel Engines in Steady-State Conditions Using Deep Learning Method

    Lee, Sangyul / Lee, Yongjoo / Lee, Youngbok et al. | Springer Verlag | 2020
    Schlagwörter: Deep 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

    Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade

    Staats, M. / Nitsche, W. / Steinberg, S. J. et al. | Springer Verlag | 2016
    Schlagwörter: Iterative learning controller

    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)

    Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

    Dede, Tayfun | Springer Verlag | 2014
    Schlagwörter: teaching-learning-based optimization