- 21. Satellite monitoring of deforestation as a result of mining
- (Environmental safety, labour protection)
- ... from Landsat time series. Remote Sensing Environ, 172, pp.126–138. 4. Lewis, S. L., Edwards, D. P. and Galbraith, D., 2015. Increasing human dominance of tropical forests. Science, 349, pp. 827–832. ...
- Created on 17 November 2017
- 22. Nonlinear dynamical analysis of abrupt welding texture change
- (Information technologies, systems analysis and administration)
- ... texture is characterized by the approximate entropy, which is calculated in phase space. The time series are reconstructed with the entropy of sub-image values for choosing the proper texture parameters. ...
- Created on 17 November 2016
- 23. Dataware of internet-center for monitoringof land resources use in ukraine
- (Information technologies, systems analysis and administration)
- ... V. A., Lavreniuk, M. S. and Vikulov, A. V., 2014. Classification of agricultural crops using satellite data time series, Inductive modeling of complex systems, No. 6, pp. 157–166. Класифікація сільськогосподарських ...
- Created on 17 November 2016
- 24. Relation of the level of the water in boreholes with influence of the ionosphere dynamics on results of remote comparison of standards of time
- (Solid-state physics, mineral processing)
- ... this problem, the following methods are offered: low-pass filtering of time series data with GPS in a range of fundamental frequencies of these oscillations of satellite data, linear regression, which ...
- Created on 02 October 2016
- 25. Applied problems of thermodynamic approach to the analysis of geophysical information
- (Geology)
- ... Press. 5. Gubbins, D., 2004. Time series analysis and inverse theory for geophysicists. Cambridge University Press. 6. John, H., 1994. Doveton Geologic Log Analysis Using Computer Methods. Kansas: ...
- Created on 02 April 2016
- 26. Private equity within mining industry in Europe
- (Economy and management)
- Authors: M. Bittner, PhD., Barclays PLC Banking & Financial services, London, UK. T. Soroková, Ing., PhD. The Technical University of Košice, Economic faculty, Department of economical ...
- Created on 28 October 2015
- 27. Forecasting water bodies hydrological parameters using singular spectrum analysis
- (Geology)
- ... indicators of the quality of the water and climatic characteristics. Methodology. For the study we have selected singular spectrum analysis (SSA), a method of time series analysis that is based on ...
- Created on 27 October 2015
- 28. Information technology of the multivariate time series fuzzy clustering on the example of the Samara river hydrochemical monitoring
- (Information technologies, systems analysis and administration)
- ... in the case of multivariate time series. Methodology. This paper presents a technique of cluster analysis of multivariate time series as a computational schemes based on the one-dimensional time ...
- Created on 13 November 2014
- 29. Degradation in loesses factors and models
- (Geology)
- ... of long time series. The nonlinear model of subsidence degradation was received at first, basing on the analysis of the long time series changes in the physical properties of the array and its dispersion ...
- Created on 13 August 2013
- 30. Some possibilities of description of loess massif properties variability in conditions of weak technogenetic disturbance
- (Geology)
- ... – С. 85–116; 251–273. Kantorovich, G.G. (2002), “Time series analysis”, HSE Economic Journal, no.1;2, pp. 85–116; 251–273. 2. Потапов Ю.В. Использование пакета программ STATISTICA для анализа ...
- Created on 16 April 2013
- 31. On determination of time series averages
- (Economy and management)
- Authors: A.S. Korkhin The general method of determination of time series averages and approximate formulas of its calculation are described. Calculation of averages for ...
- Created on 05 January 2013
- 32. Comparative analysis of Ethernet traffic statistical characteristics evaluation methods
- (Information technologies, systems analysis and administration)
- ... M.V. and Lyubchenko, V.V. (2001), “Segmentation and analysis of time series based on stochastic fractal model”, Proc. Odes. polytekhn. un-ta, Odessa, Issue 1. pp. 109–114. 7. Гуда А.Н. Модели оценки ...
- Created on 15 November 2012