Synonyme wurden verwendet für: series time time series
Suche ohne Synonyme: keywords:(time series clustering)

1–15 von 15 Ergebnissen
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    The spatial and temporal variation in passenger service rate and its impact on train dwell time: A time-series clustering approach using dynamic time warping

    Lee, Jinwoo (Brian) / Yoo, Sunhyung / Kim, Hyun et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: Clustering , dwell time , dynamic time warping , time series

    What is the busiest time at an airport? Clustering U.S. hub airports based on passenger movements

    Gao, Yi | Elsevier | 2020
    Schlagwörter: Time-series clustering , Airport clustering

    A time series clustering based approach for construction of real-world drive cycles

    Ganesh Sundarkumar, G. / B. V., Subramanya Bharadwaj / Munigety, Caleb Ronald et al. | Elsevier | 2021
    Schlagwörter: Time series , Clustering

    Time‐of‐day breakpoints optimisation through recursive time series partitioning

    Freier Zugriff
    Ma, Dongfang / Li, Wenjing / Song, Xiang et al. | Wiley | 2019
    Schlagwörter: real‐time traffic data , clustering methods , time series data partitioning problem , time series , recursive time series partitioning , pattern clustering , time‐of‐day breakpoints optimisation

    Time-of-day breakpoints optimisation through recursive time series partitioning

    Freier Zugriff
    Ma, Dongfang / Li, Wenjing / Song, Xiang et al. | IET | 2019
    Schlagwörter: pattern clustering , time-of-day breakpoints optimisation , recursive time series partitioning , time series , real-time traffic data , clustering methods , time series data partitioning problem

    Developing a representative driving cycle for paratransit that reflects measured data transients: Case study in Stellenbosch, South Africa

    Hull, Christopher / Collett, Katherine A. / McCulloch, Malcolm D. | Elsevier | 2024
    Schlagwörter: Clustering , Time series

    Should my vehicle drive as I do? A methodology to determine drivers‘ preference for automated driving styles.

    Freier Zugriff
    Käthner, David / Griesche, Stefan | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2017
    Schlagwörter: time series clustering

    Disparities in resilience and recovery of ridesourcing usage during COVID-19

    Wang, Sicheng / Huang, Xiao / Shen, Qing | Elsevier | 2023
    Schlagwörter: Time-series clustering

    Learning the representation of surrogate safety measures to identify traffic conflict

    Lu, Jiajian / Grembek, Offer / Hansen, Mark | Elsevier | 2022
    Schlagwörter: Clustering , Time series data

    Algorithm for Assessing the Technical Condition of the Monitoring Radar Based on the Clustering of Multidimensional Nonuniform Time Series

    Timoshenko, A. V. / Goncharenko, V. I. / Perlov, A. Yu. et al. | Springer Verlag | 2022
    Schlagwörter: time series clustering

    Investigating and modelling the relationship between traffic volume and extracts from cellphone activity data

    Freier Zugriff
    He, Shanglu / Ding, Fan / Zhou, Yang et al. | Wiley | 2019
    Schlagwörter: dynamic time warping‐based method , UCC timeseries , DTW‐based hierarchical clustering step , pattern clustering

    Investigating and modelling the relationship between traffic volume and extracts from cellphone activity data

    Freier Zugriff
    He, Shanglu / Ding, Fan / Zhou, Yang et al. | IET | 2019
    Schlagwörter: pattern clustering , UCC time-series , dynamic time warping-based method , DTW-based hierarchical clustering step

    Characterizing Passenger Flow for a Transportation Hub Based on Mobile Phone Data

    Zhong, Gang | Online Contents | 2017
    Schlagwörter: Time series analysis , temporal-spatial clustering

    Time Series Prediction on Settlement of Metro Tunnels Adjacent to Deep Foundation Pit by Clustering Monitoring Data

    Zhang, Qi / Ma, Yanning / Zhang, Bin et al. | Springer Verlag | 2023
    Schlagwörter: Improved data clustering method , Time series prediction

    Prediction, One of the Key Points in the Development of Electric Vehicles

    Persi, Stefano / Kolbay, Burcu / Flores, Emilio et al. | Springer Verlag | 2020
    Schlagwörter: Time-series prediction , Clustering