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1–10 von 447 Ergebnissen
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    XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters

    Seidel, Cory A. / Genter, Ethan / Peters, David A. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Women Writing Portuguese Colonialism in Africa

    Freier Zugriff
    Joana Passos | DOAJ | 2021
    Schlagwörter: History of scholarship and learning. The humanities

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    Which road do I take? A learning-based model of route-choice behavior with real-time information

    Ben-Elia, Eran / Shiftan, Yoram | Elsevier | 2010
    Schlagwörter: Reinforced learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Schlagwörter: Machine learning

    What is the Impact of COVID-19 on Residential Water Use?

    Sung, Jang Hyun / Chung, Eun-Sung | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: Lernen

    Vibration modeling improves pipeline performance, costs

    Ben Rahmoune Mohamed / Hafaifa, Ahmed / Mouloud, Guemana | Tema Archiv | 2015
    Schlagwörter: Lernprozess

    Vibration-based Damage Detection in Bridges via Machine Learning

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

      Vibration-based Damage Detection in Bridges via Machine Learning

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