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    Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach

    Alozi, Abdul Razak / Hussein, Mohamed | Elsevier | 2024
    Schlagwörter: Machine learning

    Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

    Wang, Shuli / Gao, Kun / Zhang, Lanfang et al. | Elsevier | 2024
    Schlagwörter: Spatial machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

    Hussain, Fizza / Ali, Yasir / Li, Yuefeng et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning

    Sarosi, Robert / Montomoli, Francesco / Li, Zhihui et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety

    Xue, Huiyuan / Guo, Peizhuo / Li, Yiyan et al. | Elsevier | 2024
    Schlagwörter: Automated 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
    Schlagwörter: Machine learning

    Risk-aware and Robust Approaches for Machine Learning-supported Model Predictive Control for Iterative Processes

    Freier Zugriff
    Morabito, Bruno | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    The usefulness of artificial intelligence for safety assessment of different transport modes

    Tselentis, Dimitrios I. / Papadimitriou, Eleonora / van Gelder, Pieter | Elsevier | 2023
    Schlagwörter: Machine Learning

    Towards safer streets: A framework for unveiling pedestrians’ perceived road safety using street view imagery

    Hamim, Omar Faruqe / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring nighttime pedestrian crash patterns at intersection and segments: Findings from the machine learning algorithm

    Hossain, Ahmed / Sun, Xiaoduan / Shahrier, Mahir et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analyzing the injury severity in single-bicycle crashes: An application of the ordered forest with some practical guidance

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2023
    Schlagwörter: Machine learning

    Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

    Ali, Yasir / Hussain, Fizza / Haque, Md Mazharul | Elsevier | 2023
    Schlagwörter: Machine learning

    Comparative performance of Sentinel-2 MSI and Landsat-8 OLI data in canopy cover prediction using Random Forest model: Comparing model performance and tuning parameters

    Bera, Dipankar / Das Chatterjee, Nilanjana / Bera, Sudip et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Prediction of Zenith tropospheric delay in GNSS observations using support vector regression

    Akar, Ali Utku / Inal, Cevat | Elsevier | 2023
    Schlagwörter: Machine Learning

    An interpretable clustering approach to safety climate analysis: Examining driver group distinctions

    Sun, Kailai / Lan, Tianxiang / Goh, Yang Miang et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

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