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Hydro power plants, an overview of the current types and technology

Database Office of Electricity Delivery & Energy Reliability. (Copyright © 2018 Sandia Corporation). DOE Global Energy Storage Database . Retrieved date of January 15 th , 2018, from [10] PAVLIKOVÁ, A., MOŽIEŠIK, L. (2016). Optimization of the operation of the selice water structure on the Váh River with regard to navigational safety. Pollack Periodica Vol. 11, no. 3 (no.2), p.93-104ISSN:1788-1994 [11] UNIDO & ICSHP (2013) Small hydropower world . Retrieved date of January 10 th , 2018

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Modal Parameter Identification Of Cable Stayed Bridge Based On Exploratory Data Analysis

, “The Elements of Graphing Data”. Wadsworth Monterey, CA, 1985. 8. W. S. Cleveland, and R. McGill, “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods”, Journal of the American Statistical Association, 79, pp 531–554, 1984. 9. E. R. Tufte, “The Visual Display of Quantitative Information”. Graphics Press Cheshire, CT, 1983. 10. E. R. Tufte, “Envisioning Information”. Graphics Press Cheshire, CT, 1990 11. A. Buja, D. Cook, and D. Swayne, “Interactive High-Dimensional Data Visualization, Journal

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Optimization of Distributed Multi-Node, Multi-GPU, Heterogeneous System for 3D Image Reconstruction in Electrical Capacitance Tomography

-118 [15] Majchrowicz, M., Kapusta, P., Jackowska-Strumiłło, L., Sankowski, D. (2015). Analysis of application of distributed multi-node, multi-GPU heterogeneous system for acceleration of image reconstruction in Electrical Capacitance Tomography. Image Processing & Communications , 20(3), 5-14 [16] Romanowski, A., Grudzien, K., Banasiak, R., Williams, R. A., Sankowski, D. (2006). Hopper flow measurement data visualization: Developments towards 3D. In Proc. of 5th World Congress on Industrial Process Tomography [17] Russek, P., Wiatr, K. (2007, April

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Can interestingness measures be usefully visualized?

confirmation measures be useful for rough set decision rules?, Engineering Applications of Artificial Intelligence 17(4): 345-361. Greco, S., Słowi´nski, R. and Szcz˛ech, I. (2012). Properties of rule interestingness measures and alternative approaches to normalization of measures, Information Sciences 216: 1-16. Healey, C. (1996). Choosing effective colors for data visualization, Proceedings of the 7th Conference on Visualization, VIS’96, San Francisco, CA, USA, pp. 263-270. Hernández-Orallo, J., Flach, P.A. and Ramirez, C

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A Bayesian model to compare vinification procedures

: Springer-Verlag. Ruppert D., Wand M., Carroll R. (2003): Semiparametric Regression. Cambridge: Cambridge University Press. Sacchi K.L., Bisson L.F., Adams D.O. (2005): A review of the effect of winemaking techniques on phenolic extraction in red wines. American Journal of Enology and Viticulture 56(3): 197-206. Sarkar D. (2008): Lattice: multivariate data visualization with R. New York: Springer. ISBN 978-0-387-75968-5. <> Soleas G.J., Tomlinson G., Goldberg D.M. (1998

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Linear Regression Diagnostics in Cluster Samples

References Atkinson, A.C., and M. Riani. 2000. Robust Diagnostic Regression Analysis. New York: Springer-Verlag. Atkinson, A.C., and M. Riani. 2004. “The Forward Search and Data Visualization.” Computational Statistics 19: 29-54. Bates, D., M. Maechler, B. Bolker and S. Walker. 2014. “lme4: Linear Mixed-Effects Models Using Eiqen and S4. R package version 1.1-7.” Available at: lme4 (accessed February 2, 2015). Belsley, D.A., R. E. Kuh, and R. Welsch. 1980. Regression Diagnostics: Identifying Influential Data and

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The development of a new method of idiographic measurement for dynamic assessment intervention

methods for the diagnosis of intellectual level of abnormal persons in institutions and elementary schools]. Année Psychologique, 11, 245-336. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA.: Harvard University Press. Bruner, J. S. (1960). The process of education. Cambridge, Mass: Harvard University Press. Buja, A, Swayne, D., Littman, M.L. Dean, N., & Hoffamnn, H. (2008) Interactive data visualization with multidimensional scaling. Journal of Computational and

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Empirical Study of Job Scheduling Algorithms in Hadoop MapReduce

References 1. Bardhan, S., D. A. Menascé. The Anatomy of Mapreduce Jobs, Scheduling, and Performance Challenges. - In: Proc. of 2013 Conference of the Computer Measurement Group, 2013. 2. Apache Hadoop. Last accessed on 15 April 2016. 3. Shilpa, M. K. Big Data Visualization Tool with Advancement of Challenges. - International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4, 2014, No 3, pp. 665-668. 4. Davis, R. I., A. Burns. A Survey of

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A Coupled Insulin and Meal Effect Neuro-Fuzzy Model for The Prediction of Blood Glucose Level in Type 1 Diabetes Mellitus Patients.

, J., 2017, Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods, Journal of Medical Systems, 41 (9):142. International Diabetes Federation, 2013, IDF Diabetes Atlas – 6 th Edition, Brussels Belgium, Retrieved September 2, 2016, from . International Diabetes Federation, 2016, IDF Diabetes Atlas – 7 th Edition. Retrieved September 2, 2016, from . Juan, Li. and Chandima, F., 2016, Smartphone-based personalized blood glucose

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Simulating Environmental Impacts Based On The Example Of Roşia Montană

, S. 2010. 3D data visualisation within spatial decision support systems by using ArcGIS engine. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38, Part II, 472–477. MTI, 2013. Tízezrek tüntettek a verespataki aranybánya ellen, . [Accessed: June, 2015.] Parasca, A.G., Butnaru, G.I. 2014. Roşia Montana – Regional Impact. Procedia Economics and Finance 15, 679–686. DOI: 10.1016/S2212-5671(14)00539-5 Paşca, E. 2010. Gold Culture and

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