Showing 621 - 640 results of 805 for search 'road developing algorithm', query time: 0.09s Refine Results
  1. 621

    Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation by Ghada Afifi, Bassem Mokhtar

    Published 2025-01-01
    “…We evaluate the efficiency of the proposed resource geofencing algorithm under different realistic operating conditions. …”
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    A comprehensive review on safe reinforcement learning for autonomous vehicle control in dynamic environments by Rohan Inamdar, S. Kavin Sundarr, Deepen Khandelwal, Varun Dev Sahu, Nitish Katal

    Published 2024-12-01
    “…Safe reinforcement learning (SRL) algorithms have been developed to address this issue, prioritizing safe and reliable decisions. …”
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    Examining the Expected Impacts of Autonomous Vehicles on Transport, Their Cross-Impacts and the Relationships Between Impacts by Daniel Csikor, Ferenc Szauter, Réka Koteczki

    Published 2024-11-01
    “…This research has identified the factors that influence the impact of vehicle control algorithms on road transport, depending on technological feasibility, as well as the factors that influence development directions, and then used a questionnaire survey to assess the factors that are most important to society. …”
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    Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach by Fauziah, Lilik B. Prasetyo, Nonon Saribanon, Nur Hayati

    Published 2025-06-01
    “…The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. …”
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    Article
  15. 635

    Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

    Published 2025-07-01
    “…Abstract The development of intelligent transportation systems relies heavily on Cloud-assisted Vehicular Ad Hoc Networks (VANETs); hence, these networks must be protected. …”
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  16. 636

    Identification of Energy Metabolism-Related Subtypes and Diagnostic Biomarkers for Osteoarthritis by Integrating Bioinformatics and Machine Learning by Xu S, Ye J, Cai X

    Published 2025-03-01
    “…Three machine learning algorithms were employed to identify key diagnosis genes, specifically Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Random Forest (RF). …”
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