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Publikationen von Daniel Klosa

Zeitschriftenartikel (1)

  1. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

Tagungsbeiträge (3)

  1. D. Klosa, C. Büskens.
    Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting.
    21st IEEE International Conference on Machine Learning and Applications (ICMLA), 12.12.-14.12.2022, Nassau, Bahamas.
    Mach. Learn. Knowl. Extr., 5(3):830-846, 2023.

    DOI: 10.3390/make5030044

  2. A. Mallek, D. Klosa, C. Büskens.
    Enhanced K-Nearest Neighbor Model For Multi-steps Traffic Flow Forecast in Urban Roads.
    8th IEEE International Smart Cities Conference, 26.09-29.09.2022.
    Paphos, Cyprus, IEEE Xplore, S. 1-5, 2022.

    DOI: 10.1109/ISC255366.2022.9921897

  3. D. Klosa, A. Mallek, C. Büskens.
    Short-Term Traffic Flow Forecast Using Regression Analysis and Graph Convolutional Neural Networks.
    2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 20.12-22.12.2021.
    Haikou, Hainan, China, IEEE Xplore, S. 1413-1418, 2021.

    DOI: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00212