Showing 1 - 20 results of 84 for search 'batch road', query time: 0.07s Refine Results
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    Road Roughness Level Identification Based on BiGRU Network by Shuang Chen, Junjun Xue

    Published 2022-01-01
    “…Then the mapping relationship between the road roughness level and the vehicle vibration responses is determined, and the road roughness level identification model is established. …”
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    TriM-Net: Trinityformer-Mamba fusion for road extraction in remote sensing by Zhenzhong Huang, Hongjuan Shao, Chao Ren, Hongman Li, Haoming Bai, Zhou Lei, Gu Yao, Qinyi Chen

    Published 2025-09-01
    “…Precise road information extraction is crucial for transportation and intelligent sensing. …”
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    Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

    Published 2024-12-01
    “…We applied the variants of the transformer-based SegFormer model and evaluated the effects of different encoders, batch sizes, loss functions, optimizers, and augmentation techniques on road extraction performance. …”
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    Efficient anonymous authentication protocol for internet of vehicles based on Chinese cryptographic SM2 by SU Binting, FANG He, XU Li

    Published 2025-06-01
    “…To validate the protocol's performance, tests of the batch authentication algorithm were conducted on a QT platform based on the Fedora system, with the batch authentication efficiency for 10, 20, 40, ⋯, 320 vehicles being evaluated. …”
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    Analyzing feature importance for older pedestrian crash severity: A comparative study of DNN models, emphasizing road and vehicle types with SHAP interpretation by Rocksana Akter, Susilawati Susilawati, Hamza Zubair, Wai Tong Chor

    Published 2025-06-01
    “…Recognizing the importance of road safety modeling, the study explores Deep Neural Networks (DNN) with features like hidden layers, batch normalization, Rectified Linear Unit (ReLU) activation, and dropout to predict crash severity, interpreting decisions using SHapley Additive exPlanations (SHAP) for crashes involving older pedestrians. …”
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    Experimental Investigation of Mechanical and Electromagnetic Performance of Asphalt Concrete Containing Different Ratios of Graphite Powder as a Filler to be Potentially Used as Pa... by Orhan Kaya, Hatice Merve Annagur, Olcay Altintas

    Published 2023-12-01
    “…This study experimentally investigates the usability of asphalt concrete pavement containing five different ratios of graphite powder (0%, 1.25%, 2.5%, 3.75% and 5% by weight of the aggregate blend or 0%, 25%, 50%, 75% and 100% of the filler content) as a filler to be potentially used as part of wireless electric roads (ER). As part of the study, first, optimum asphalt binder content for the asphalt mixes without graphite powder was determined as 5%. …”
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    The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

    Published 2025-01-01
    “…ObjectiveVisual inspection is an important technology for the roadside perception of vehicle-road cooperative. But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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    The Impact of Long-Time Chemical Bonds in Mineral-Cement-Emulsion Mixtures on Stiffness Modulus by Bohdan Dołżycki, Mariusz Jaczewski, Cezary Szydłowski

    Published 2018-06-01
    “…Deep cold in-place recycling is the most popular method of reuse of existing old and deteriorated asphalt layers of road pavements. In Poland, in most cases, the Mineral-Cement-Emulsion mixture technology is used, but there are also applications combining foamed bitumen and cement. …”
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