Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–20 von 579 Ergebnissen
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    Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Static Environment

    Kashkash, Mariam / Haj Darwish, Ahmed / Joukhadar, Abdulkader | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Zusammenfassung und Ausblick

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Welcome to the Data Jungle – Our Way to Tackle AI-Supported Vehicle Development Projects

    Maerker, J. / Fleischer, T. / Rößler, T. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation

    Freier Zugriff
    Andersson, Olov / Doherty, Patrick / Lager, Mårten et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Voronoi Diagram-Based Approach to Identify Maritime Corridors

    Masmoudi, Mariem / Chakhar, Salem / Chabchoub, Habib | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Virtual Interactive Planning Model of Landscape Architecture in Settlement Area Based on Situational Awareness

    Diao, Jun-qin / Cui, Xue-yong | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning

    Sai Prasad, Kashi / Pasupathy, S. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    Schlagwörter: machine learning

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Vehicular Communication and Networking Technologies

    Lu, Sidi / Shi, Weisong | Springer Verlag | 2024
    Schlagwörter: Machine Learning

    Vehicle Usage Extraction Using Unsupervised Ensemble Approach

    Khoshkangini, Reza / Kalia, Nidhi Rani / Ashwathanarayana, Sachin et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Vehicle Trajectory Outlier Detection for Road Safety

    AlShanbari, Hanan S. / Al-Qadi, Heba T. / Al-Hassani, Ashwaq M. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Vehicle Over Speed Detection System

    Ganesan, K. / Manikandan, N. S. / Sugumaran, Vijayan | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Vehicle Entry Management System Using Image Processing

    Vallikannu, R. / kanth, Krishna / Kumar, L. SaiPavan et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Utilization of Ikaz and Direct Quadrature for Transient Test-Based Technique for Leakage Detection Purpose in Pipeline System

    Yusop, Hanafi M. / Ghazali, M. F. / Azmi, W. H. et al. | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Utilization of Fuzzy Analytical Hierarchy Process (FAHP) and TOPSIS-AHP for Selecting the Best Plant Maintenance Strategy

    Kamaludin, K. N. / Abdullah, L. / Sheng, L. Y. et al. | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Using Meta-Learning to Reduce the Effort of Training New Workpiece Geometries for Entanglement Detection in Bin-Picking Applications

    Freier Zugriff
    Moosmann, Marius / Bleifuß, Julian / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Meta Learning

    Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking

    Moosmann, Marius / Spenrath, Felix / Mönnig, Manuel et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Urban rail transit FAO system: technological development and trends

    Freier Zugriff
    Tang, Tao / Liu, Wentao / Ding, Shukui et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning