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Machine Learning Paradigm for Internet of Things Applications. Группа авторовЧитать онлайн книгу.

Machine Learning Paradigm for Internet of Things Applications - Группа авторов


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Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanoviü, N., Meijers, E., Smart Cities: Ranking of European Medium-Sized Cities, Centre of Regional Science (SRF), Vienna University of Technology, Vienna, Austria, 2007.

      27. Eek, R.T.P., Sahlan, S., Wahab, N.A., Modeling of Waste Water Treatment Plant via system ID & model reduction technique. IEEE Conference on Control Systems & Industrial Informatics, pp. 131–136, 2012.

      28. Chintalacheruvu, N. and Muthukumar, V., Video based vehicle detection and its application in intelligent transportation systems. J. Transp. Technol., 2, 4, 305–314, 2012.

      29. Sandhu, S.S., Jain, N., Gaurav, A., Iyengar, N. Ch. S. N., Agent based intelligent traffic management system for smart cities. Int. J. Smart Home, 9, 12, 307–316, 2015.

      30. Borja, J., Counterpoint: Intelligent cities and innovative cities. UOC Papers: E-Journal on the Knowledge Society, 2007.

      31. Mitchell, W., Designing the Digital City, in: Digital Cities: Technologies, Experiences, and Future Perspectives, T. Ishida and K. Isbister, (Eds.), pp. 1–6, Springer, Berlin/Heidelberg, 2000.

      32. Odendaal, N., Information and communication technology and local governance: Understanding the difference between cities in developed and emerging economies. Comput. Environ. Urban Syst., 27, 6, 585–607, 2003.

      33. Nfuka, E.N. and Rusu, L., Critical success factors for effective IT governance in the public sector organizations in a developing country: The case of Tanzania. 18th European Conference on Information Systems (ECIS), Pretoria, South Africa, 2010.

      1 *Corresponding author: [email protected]

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