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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. 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. 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.

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Urban smart mobility in the scientific literature — bibliometric analysis 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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