A Novel Method for Modeling and Predicting Transportation Data Via Multideep Assessment Methodology and Fractional Calculus Cover

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A Novel Method for Modeling and Predicting Transportation Data Via Multideep Assessment Methodology and Fractional Calculus

Transport and Telecommunication Journal

Volume 25 (2024): Issue 2 (April 2024)

By: Kevser Şimşek, Nisa Özge Önal Tuğrul, İlhan Çam, Kamil Karaçuha, Vasıl Tabatadze and Ertuğrul Karaçuha

Open Access

|Apr 2024

Authors

Kevser Şimşek

simsek18@itu.edu.tr

Informatics Institute, Istanbul Technical University, Istanbul, Türkiye

Nisa Özge Önal Tuğrul

onal16@itu.edu.tr

Informatics Institute, Istanbul Technical University, Istanbul, Türkiye

İlhan Çam

icam@gtu.edu.tr

Faculty of Business Administration, Gebze Technical University, Kocaeli, Turkey

Kamil Karaçuha

karacuha17@itu.edu.tr

Electrical Engineering Department, Istanbul Technical University, Istanbul, Turkey

Vasıl Tabatadze

tabatadze@itu.edu.tr

Informatics Institute, Istanbul Technical University, Istanbul, Türkiye

Ertuğrul Karaçuha

karacuhae@itu.edu.tr

Informatics Institute, Istanbul Technical University, Istanbul, Türkiye

DOI: https://doi.org/10.2478/ttj-2024-0010 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160

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Language: English

Page range: 136 - 149

Published on: Apr 23, 2024

Published by: Transport and Telecommunication Institute

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Air transportation,

deep assessment methodology,

fractional calculus,

time series prediction,

applied mathematics

Related subjects:

Introductions and overviews,

Engineering, other

© 2024 Kevser Şimşek, Nisa Özge Önal Tuğrul, İlhan Çam, Kamil Karaçuha, Vasıl Tabatadze, Ertuğrul Karaçuha, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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