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    Determinants of Electricity Consumption of Energy-Vulnerable Group Using Ensemble Gradient-Boosting Algorithm

    Kim, Hyunsoo / Kwon, Youngwoo / Choi, Yeol | Springer Verlag | 2022
    Keywords: Machine learning

    Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

    Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Springer Verlag | 2017
    Keywords: support vector machine learning

    Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction

    Kim, Hyun Il / Han, Kun Yeun | Springer Verlag | 2020
    Keywords: Machine learning

    Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach

    Karlsson, Henrik / Qazizadeh, Alireza / Stichel, Sebastian et al. | Springer Verlag | 2020
    Keywords: Machine learning

    Changing the Philosophy of Full-Scale-Fatigue-Tests Derived from 50 Years of IABG Experience Towards a Virtual Environment

    Hilfer, Gerhard / Tusch, Olaf / Wu, Don et al. | Springer Verlag | 2019
    Keywords: Machine learning

    Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

    Indrawati, Aida Noor / Nuryani, Nuryani / Wiharto, Wiharto et al. | Springer Verlag | 2024
    Keywords: Machine learning

    A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi

    Thanh, Truong Thi My / Ly, Hai-Bang / Pham, Binh Thai | Springer Verlag | 2019
    Keywords: Machine learning

    A Machine Learning Tool for Pavement Design and Analysis

    Yang, Guangwei / Mahboub, Kamyar C. / Renfro, Ryan L. et al. | Springer Verlag | 2023
    Keywords: Machine learning

    A Machine Learning Based Method for Real-Time Queue Length Estimation Using License Plate Recognition and GPS Trajectory Data

    Liu, Dongbo / An, Chengchuan / Yasir, Muhammad et al. | Springer Verlag | 2022
    Keywords: Machine learning

    A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets

    Cheung, Catherine / Sehgal, Srishti / Valdés, Julio J. | Springer Verlag | 2019
    Keywords: Machine learning

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