Synonyme wurden verwendet für: Maschinelles Lernen
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1–10 von 50 Ergebnissen
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    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
    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: Machine learning

    Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model

    Al-Jarazi, Rabea / Rahman, Ali / Ai, Changfa et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Evaluation of Machine Learning Algorithms for Classification of Infrastructure Elements in Complex Structures

    Yilmaz, Yalcin / Bayrak, Onur Can / Soycan, Arzu | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns

    Yu, Yong / Hu, Tianyu | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Interpretability Analysis of Shear Capacity in Reinforced Recycled Aggregate Concrete Beams Using Tree Models

    Li, Li / Qin, Yapeng / Zhang, Yang et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca

    Song, Qiwei / Li, Wenjing / Li, Jintai et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

    Khattak, Afaq / Chan, Pak-wai / Chen, Feng et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Schlagwörter: Machine-learning regression