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1–50 von 163 Ergebnissen
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    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    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

    Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections

    Spatharis, Christos / Blekas, Konstantinos | Taylor & Francis Verlag | 2024
    Schlagwörter: multiagent reinforcement 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

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction

    Li, Zhihong / Xu, Han / Gao, Xiuli et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep 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

    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

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

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine 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

    Simulation-driven design of a fast monohull

    Freier Zugriff
    Harries, Stefan / Ahmed, Osama / Uharek, Sebastian | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning (ML)

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep Q-learning , reinforcement learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning , Q-learning

    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

    Estimating the effect of biofouling on ship shaft power based on sensor measurements

    Freier Zugriff
    Bakka, Haakon / Rognebakke, Hanne / Glad, Ingrid et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Schlagwörter: ensemble learning

    Impact Angle Control Guidance Considering Seeker’s Field-of-View Limit Based on Reinforcement Learning

    Lee, Sangmin / Lee, Youngjun / Kim, Youdan et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples

    Freier Zugriff
    Dieter, Tamara / Zisgen, Horst | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2023
    Schlagwörter: Deep Learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Deep learning

    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

    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

    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

    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)

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

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

    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

    Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation

    Notter, Stefan / Gall, Christian / Müller, Gregor et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints

    Xu, Yifan / Wandelt, Sebastian / Sun, Xiaoqian et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Application of Physical Model Test-Based Long Short-Term Memory Algorithm as a Virtual Sensor for Nitrogen Oxide Prediction in Diesel Engines

    Shin, Dalho / Jo, Seongin / Kim, Hyung Jun et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand

    Freier Zugriff
    Winkelbauer, Dominik / Bäuml, Berthold / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , reinforcement learning

    Speeding Up Optimization-based Motion Planning through Deep Learning

    Freier Zugriff
    Tenhumberg, Johannes / Darius, Burschka / Bäuml, Berthold | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Learning from Experience , Deep Learning Methods

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer

    Freier Zugriff
    Tang, Qinrui / Jahan, Kanwal / Roth, Michael | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: deep learning , self-supervised learning

    Using Predictive Uncertainty for Cleaning Noisy Annotations

    Freier Zugriff
    Gütter, Jonas Aaron / Ulman, Hannah / Niebling, Julia | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Deep Learning

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Estimating Parameters of Governing Equations of Non-Linear Systems from Data Using Synchronisation and Machine Learning

    Freier Zugriff
    Prosperino, Davide | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Characterizing aircraft wake vortex position and strength using LiDAR measurements processed with artificial neural networks

    Freier Zugriff
    Wartha, Niklas Louis / Stephan, Anton / Holzäpfel, Frank et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning