Synonyme wurden verwendet für: Features
Suche ohne Synonyme: keywords:("Features")

1–20 von 40 Ergebnissen
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    A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China

    Tang, Tianli / Gu, Ziyuan / Yang, Yuanxuan et al. | Elsevier | 2024
    Schlagwörter: Natural features

    Analysis of Fracture Surface Morphology and Study of Seepage Diffusion Characteristics

    Li, Zheng / Mao, Kun / Liu, Jie et al. | Springer Verlag | 2024
    Schlagwörter: Morphology features

    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: Feature importance

    Traffic Propagation in Road Network from a Data-Driven Analysis Perspective

    Chang, Mengmeng / Ding, Zhiming / Guo, Limin et al. | ASCE | 2023
    Schlagwörter: Semantic features

    A dynamic traffic assignment framework for policy analysis in cities with significant share of two-wheelers

    Chapala, Sai Bharath Kumar / Nair, Preetha / Sreekumar, M. et al. | Elsevier | 2023
    Schlagwörter: Two-wheeler specific features

    An exploratory analysis on city characteristics likely to affect autonomous vehicle legislation enactment across the United States

    Alnajjar, Hella / Ozbay, Kaan / Iftekhar, Lamia | Elsevier | 2023
    Schlagwörter: Feature selection

    Evaluating geospatial context information for travel mode detection

    Hong, Ye / Stüdeli, Emanuel / Raubal, Martin | Elsevier | 2023
    Schlagwörter: Feature attribution

    Driver Behavior Performance at Freeway Exit Ramp Terminals: Investigation and Modeling

    Alamry, Fayez / Hassan, Yasser | ASCE | 2023
    Schlagwörter: Ramp controlling features

    A New 3D Statistical Parameter for Determining Roughness of Joint Surfaces Considering Shear Direction and Asperity Features

    Liu, Juan / Gao, Feng / Xing, Yan et al. | Springer Verlag | 2023
    Schlagwörter: Asperity features

    Improved Two-Layer Stacking Model for Prediction of the Level of Delay Caused by Crashes: An Empirical Analysis of Texas

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | ASCE | 2023
    Schlagwörter: Multiobjective feature selection (FS)

    What is an ideal (Utopian) mobility as a service (MaaS) framework? A communication note

    Hensher, David A. / Mulley, Corinne / Nelson, John D. | Elsevier | 2023
    Schlagwörter: MaaS as a feature (MaaF)

    Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms

    Huang, Hongyu / Liu, Lipeng / Cao, Ruilang et al. | Springer Verlag | 2023
    Schlagwörter: Feature importance

    One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data

    Yessoufou, Fadel / Zhu, Jinsong | Springer Verlag | 2023
    Schlagwörter: Damage-sensitive features

    Smart Real-Time Vehicle Detection and Tracking System Using Road Surveillance Cameras

    Alomari, Ahmad H. / Abu Lebdeh, Enas | ASCE | 2022
    Schlagwörter: Feature points , Speeded up robust feature (SURF)

    Evaluating Operational Features of Multilane Turbo Roundabouts with an Entropy Method

    Pan, Binghong / Chai, Hu / Liu, Juan et al. | ASCE | 2022
    Schlagwörter: Operational features

    Forecasting estimated times of arrival of US freight trains

    Liu, Zhen / Ma, Qingsong / Tang, Haichuan et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: feature weighted K-Nearest neighbor

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 2022
    Schlagwörter: Feature selection

    Research on a Point Cloud Registration Method of Mobile Laser Scanning and Terrestrial Laser Scanning

    Cong, Bori / Li, Qingying / Liu, Rufei et al. | Springer Verlag | 2022
    Schlagwörter: Point cloud features

    A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams

    Cao, Enhua / Bao, Tengfei / Li, Hui et al. | Springer Verlag | 2022
    Schlagwörter: Hybrid feature selection