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    Der Rhein-(Maas-)Schelde-Kanal als geplante Infrastrukturzelle von 1946-1985 : Eine Studie zur Infrastruktur- und Netzwerk-Geschichte

    Freier Zugriff
    Schröder, Lina | TIBKAT | 2017
    Schlagwörter: Language teaching & learning (other than ELT)

      Der Rhein-(Maas-)Schelde-Kanal als geplante Infrastrukturzelle von 1946-1985 : Eine Studie zur Infrastruktur- und Netzwerk-Geschichte

      Freier Zugriff
      Schröder, Lina | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2017
      Schlagwörter: Language teaching & learning (other than ELT)

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Machine learning

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    SATP-GAN: self-attention based generative adversarial network for traffic flow prediction

    Zhang, Liang / Wu, Jianqing / Shen, Jun et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: reinforcement learning

    A Drone-Powered Deep Learning Methodology for High Precision Remote Sensing in California’s Coastal Shrubs

    Freier Zugriff
    Jon Detka / Hayley Coyle / Marcella Gomez et al. | DOAJ | 2023
    Schlagwörter: deep learning , machine learning

    A Study of Correlation between Fishing Activity and AIS Data by Deep Learning

    Freier Zugriff
    Kuan Yu Shen / Ying Jui Chu / Shwu Jing Chang et al. | DOAJ | 2020
    Schlagwörter: deep learning framework , deep learning , learning methods

    Calibrating microscopic traffic simulators using machine learning and particle swarm optimization

    Liu, Yanchen / Zou, Bo / Ni, Anning et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Review of intelligent detection and statistical methods of wild animals in UAV aerial photography

    Freier Zugriff
    ZHU Ninghua / ZHENG Jiangbin / ZHANG Yang | DOAJ | 2023
    Schlagwörter: deep learning , transfer learning

    The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: feature learning , machine learning

    Self-Supervised Representation Learning for Quasi-Simultaneous Arrival Signal Identification Based on Reconnaissance Drones

    Freier Zugriff
    Linqing Guo / Mingyang Du / Jingwei Xiong et al. | DOAJ | 2023
    Schlagwörter: self-supervised representation learning , transfer learning

    Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning

    Freier Zugriff
    SHU Lisheng / LI Guifang / JI Sheng | DOAJ | 2021
    Schlagwörter: reinforcement learning , q-learning algorithm

    Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

    Freier Zugriff
    LI Junsheng / YUE Longfei / ZUO Jialiang et al. | DOAJ | 2022
    Schlagwörter: deep learning , deep reinforcement learning

    Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp

    Dong, Changyin / Wang, Hao / Li, Ye et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    An evacuation guidance model for pedestrians with limited vision

    Han, Yanbin / Liu, Hong / Li, Liang | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors

    Freier Zugriff
    Yuan-Kai Wang / Jonathan Guo / Tung-Ming Pan | DOAJ | 2022
    Schlagwörter: multitask learning , multidomain joint 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

    Eco-driving at signalized intersections: a parameterized reinforcement learning approach

    Jiang, Xia / Zhang, Jian / Li, Dan | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique

    Freier Zugriff
    Dana Mohammed Ali / Haval A.Sadeq | DOAJ | 2022
    Schlagwörter: deep learning

    Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

    Freier Zugriff
    Limon Barua / Bo Zou | DOAJ | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022

    Freier Zugriff
    Schüppstuhl, Thorsten / Tracht, Kirsten / Fleischer, Jürgen | TIBKAT | 2023
    Schlagwörter: Machine learning

      Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022

      Freier Zugriff
      Schüppstuhl, Thorsten / Tracht, Kirsten / Fleischer, Jürgen | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2023
      Schlagwörter: Machine learning

    Real-time traffic incident detection based on a hybrid deep learning model

    Li, Linchao / Lin, Yi / Du, Bowen et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Analysis of methods of object recognition and image compression during aerial photography from unmanned aerial vehicles

    Freier Zugriff
    M.Yu. / D.A. / A.A. et al. | DOAJ | 2023
    Schlagwörter: deep learning , machine learning

    Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems

    Mahdavi-Meymand, Amin / Zounemat-Kermani, Mohammad | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections

    Mosharafian, Sahand / Afzali, Shirin / Mohammadpour Velni, Javad | Taylor & Francis Verlag | 2023
    Schlagwörter: Reinforcement learning

    Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021

    Schüppstuhl, Thorsten | Katalog Medizin | 2022
    Schlagwörter: Machine learning

    Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery

    Freier Zugriff
    Farhad Samadzadegan / Farzaneh Dadrass Javan / Farnaz Ashtari Mahini et al. | DOAJ | 2024
    Schlagwörter: deep learning network , YOLOv8 Deep Learning Network

    Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques

    Omar, M / Zaidan, M A / Tokhi, M O | SAGE Publications | 2012
    Schlagwörter: online learning

    HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning

    Freier Zugriff
    Yanfei Peng / Guozhen Tan / Huaiwei Si | DOAJ | 2023
    Schlagwörter: generative adversarial imitation learning , reinforcement 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

    On the potential for recognising of social interaction and social learning in modelling travellers’ change of behaviour under uncertainty

    Sunitiyoso, Yos / Avineri, Erel / Chatterjee, Kiron | Taylor & Francis Verlag | 2011
    Schlagwörter: social learning

    SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection

    Freier Zugriff
    Esra Kavalci Yilmaz / M. Ali Akcayol | DOAJ | 2022
    Schlagwörter: deep learning

    Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems

    Freier Zugriff
    Min Ma / Yunhe Xu / Zhi Wang et al. | DOAJ | 2023
    Schlagwörter: deep learning , decentralized learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

    Shi, Dachuan / Ye, Yunguang / Gillwald, Marco et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model

    Hesam Hafezi, Mohammad / Sultana Daisy, Naznin / Millward, Hugh et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine-learning

    Short-term prediction of traffic dynamics with real-time recurrent learning algorithms

    Sheu, Jiuh-Biing / Lan, Lawrence W. / Huang, Yi-San | Taylor & Francis Verlag | 2009
    Schlagwörter: real-time recurrent learning

    Consumer learning behavior in choosing electric motorcycles

    Sung, Yen-Ching | Taylor & Francis Verlag | 2010
    Schlagwörter: Bayesian learning

    Social group detection based on multi-level consistent behaviour characteristics

    Li, Meng / Chen, Tao / Du, Hao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: unsupervised learning

    DRL-based adaptive signal control for bus priority service under connected vehicle environment

    Zhang, Xinshao / He, Zhaocheng / Zhu, Yiting et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning

    Integration of machine learning and statistical models for crash frequency modeling

    Zhou, Dongqin / Gayah, Vikash V. / Wood, Jonathan S. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Integrating data-driven and simulation models to predict traffic state affected by road incidents

    Shafiei, Sajjad / Mihăiţă, Adriana-Simona / Nguyen, Hoang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Cruise dynamic pricing based on SARSA algorithm

    Wang, Jing / Yang, Dong / Chen, Kaimin et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: 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

    Prediction of extent of damage in vehicle during crash using improved XGBoost model

    Vadhwani, Diya / Thakor, Devendra | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Method for automated detection of outliers in crash simulations

    Kracker, David / Dhanasekaran, Revan Kumar / Schumacher, Axel et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Development of a global road safety performance function using deep neural networks

    Freier Zugriff
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Schlagwörter: Deep learning

    GraphCast for solving the air transportation nexus among safety, efficiency, and resilience

    Freier Zugriff
    Sebastian Wandelt / Xiaoqian Sun / Jun Zhang | DOAJ | 2024
    Schlagwörter: Machine learning

    Incorporating congestion patterns into spatio-temporal deep learning algorithms

    Leiser, Neil / Yildirimoglu, Mehmet | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning