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Modeling Commuter’s Sociodemographic Characteristics to Predict Public Transport Usage Frequency by Applying Supervised Machine Learning Method

Information. Journal of Applied Mathematics, 1-13. https://doi.org/10.1155/2012/258054 Talpur, M. A. H. (2017). ‘Energy Crisis and Household’s Perception about Solar Energy Acceptance: District Hyderabad, Pakistan’, SINDH UNIVERSITY RESEARCH JOURNAL (SCIENCE SERIES), 49(3), pp. 601–604. https://doi.org/10.26692/Surj/2017.09.23 Tao, S., Rohde, D. and Corcoran, J. (2014). Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap. J. Transp. Geogr. 41, 21–36. https://doi.org/10.1016/j.jtrangeo.2014

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Urban smart mobility in the scientific literature — bibliometric analysis

https://www.theguardian.com/cities/2017/mar/22/bike-wars-docklesschina-millions-bicycles-hangzhou Min, W., & Wynter, L. (2011). Real-time road traffic prediction with spatio-temporal correlations. Transportation Research Part C – Emerging Technologies , 19 (4), 606-616. doi: 10.1016/j.trc.2010.10.002 Ministerstwo Transportu, Budownictwa i Gospodarki Morskiej [Ministry of Transport, Construction and Maritime Economy]. (2013). Strategia Rozwoju Transportu do 2020 roku (z perspektywą do 2030 roku) [ Strategy for Transport Development in force until 2020

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Analysis of Broadband Antenna Radiation Pulses

the action of electromagnetic impulse signals on biological pests in the soil. MOTROL. Commission of motorization and energetics in agriculture: Polish Academy of sciences . Vol. 17, №1 . 45-50. Chernyshev, S.L. (2001). Spatio-temporal analysis of the characteristics of the ultrawideband antenna. Chernyshev S. L., Vylenskyy A. R. Problems of diffraction and propagation of electromagnetic waves: interdepartmental collection of scientific papers . MIPT. p. 113-120. Ymmoreev, I.Y. (2001). Radiation of ultrawideband signals. Ymmoreev Y. Y., Synyavyn A. N

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