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101–150 von 163 Ergebnissen
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    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 data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers

    Li, Yan / Sarvi, Majid / Khoshelham, Kourosh et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: ensemble 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

    Fahrerverhaltensvorhersage an Kreisverkehren

    Freier Zugriff
    Zhao, Min / Käthner, David / Jipp, Meike | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2016
    Schlagwörter: Machine Learning

    Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series

    Freier Zugriff
    Diniz Dal Molin Junior, Ricardo Simao / Rizzoli, Paola | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning

    Propeller optimization by interactive genetic algorithms and machine learning

    Freier Zugriff
    Gypa, Ioli / Jansson, Marcus / Wolff, Krister et al. | Taylor & Francis 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

    Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning

    Braun, David / Marb, Michael M. / Angelov, Jorg et al. | AIAA | 2023
    Schlagwörter: Reinforcement 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

    Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning

    Freier Zugriff
    Beik-Mohammadi, Hadi / Kerzel, Matthias / Pleintinger, Benedikt et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Learning (Artificial Intelligence)

    Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry

    Freier Zugriff
    Stratmann, Philipp / Albu-Schäffer, Alin / Jörntell, Henrik | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: motor 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

    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

    Inferring safety critical events from vehicle kinematics in naturalistic driving environment: Application of deep learning Algorithms

    Khattak, Zulqarnain H. / Rios-Torres, Jackeline / Fontaine, Michael D. et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep learning

    Images in mind – Design metaphor and method to classify driver distraction in critical situations

    Freier Zugriff
    Griesche, Stefan / Dziennus, Marc | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2013
    Schlagwörter: machine 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)

    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

    Bridging the Reality-Gap: 6-DoF Pose Estimation of Multiple Cars by a Deep CNN Trained on Synthetic Data

    Freier Zugriff
    Lorenz, Benjamin | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

    Research on Intelligent Decision Based on Compound Traffic Field

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

    Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

    Zhang, Zihe / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    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

    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

    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

    Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys

    Kirkpatrick, Kenton / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement 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

    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

    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions

    Freier Zugriff
    Alms, Robert / Noulis, Aristeidis / Mintsis, Evangelos et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: reinforcement learning (RL)

    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)

    Autonomous Reconnaissance Trajectory Guidance at Small Near-Earth Asteroids via Reinforcement Learning

    Takahashi, Shota / Scheeres, Daniel J. | AIAA | 2023
    Schlagwörter: Reinforcement 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

    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

    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

    Fixed Structure Policy-Based Model Predictive Control

    Wilson, Elias / Prazenica, Richard | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Filtered Integral Formulation of the Sparse Model Identification Problem

    Guého, Damien / Singla, Puneet / Majji, Manoranjan et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    Automatic separation of laminar-turbulent flows on aircraft wings and stabilisers via adaptive attention butterfly network

    Freier Zugriff
    Kuzu, Ridvan Salih / Mühlmann, Philipp / Zhu, Xiao Xiang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Self-supervised Learning

    Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid

    Taniguchi, Asuto / Satoh, Satoshi / Yamada, Katsuhiko | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2010
    Schlagwörter: Reinforcement Learning

    Optimal Planetary Surface Routing Considering Exploration Values and Synergies

    Choi, Euihyeon / Ahn, Jaemyung | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Coordinated Orbit–Attitude–Vibration Control of a Sun-Facing Solar Power Satellite

    Li, Qingjun / Deng, Zichen | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Reinforcement-Learning-Based Adaptive Optimal Flight Control with Output Feedback and Input Constraints

    Sun, Bo / van Kampen, Erik-Jan | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming

    Li, Hangxu / Sun, Liguo / Tan, Wenqian et al. | AIAA | 2020
    Schlagwörter: Reinforcement Learning

    Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions

    Zavoli, Alessandro / Federici, Lorenzo | AIAA | 2021
    Schlagwörter: Inverse Reinforcement Learning

    Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement Learning

    Traffic Route Generation and Adaptation Using Case-Based Reasoning

    Whitsitt, Andrew J. / Travis, Larry E. | Taylor & Francis Verlag | 1996
    Schlagwörter: automatic learning

    Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning§

    Schlichting, Marc R. / Notter, Stefan / Fichter, Walter | AIAA | 2022
    Schlagwörter: Reinforcement Learning