O. V Mandrikova, Yu.A. Polozov and A.S. Perezhogin, “Wavelet-Technology of the Ionospheric Data Analysis,” Scientific Notes of the Belgorod State University, a Series "History. Political Science. Economy. Computer Science", Belgorod, No. 19, 2011, pp. 113-118.
 O. V Mandrikova and Yu.A. Polozov, “Criteria of Wavelet-Function Choice in Problems of Approximation Natural Time Series of Complex Struc-ture,” Information Technology, Moscow, No. 1, 2012, pp. 31 - 36.
 Yu. A. Polozov, “Method of Training Set Formation for a Neural Network on the Basis of a Wavelet-Filtration,” News of High Schools, the North Caucasian Region, a Series Natural Sciences, No. 3, 2010, pp. 12-16.
 A. A. Namga-ladze, “The Physical Mechanism and Mathematical Modeling of Ionospheris Harbingers of the Earthquakes Recorded in Full Electronic Maintenance,” Geomagnet-ism and Aeronomia, Vol. 49, No. 2, -2009, pp. 267-277.
 O. V. Mandrikova, Yu. A. Polozov and T. L. Zaliaev, “Methods of Analysis and Interpretation of Ionospheric Critical Frequency FOf2 Data Based on Wavelet Transform and Neural Networks,” European Seismological Commission 33-rd General Assembly (GA ESC 2012), 19-24 August 2012, Thesis, Moscow.
 Y. Polozov, O. Mandrikova and V. Bogdanov, “Detection of Anomalies in Ionospheric Increased Seismic Activity,” International Union of Geodesy and Geophysics (IUGG), 28 June – 07 July 2011, Thesis, Melbourne.
 O. V Mandrikova, Yu. A. Polozov, N.V. Glushkova and T.L. Zalyaev, “Technology of Allocation of Anomalies in Ionospheric Data on the Basis of Combination Wavelet-Transformation and Neural Networks,” International Conference ?Intelligent Information Processing? (IIP-2012), Montenegro, Budva,16-22 September 2012, pp. 524-527.
 O. V Mandrikova and Yu. A. Polozov, "Method of Allocation and Classifi-cation of Anomalies in Ionospheric Parameters on the Basis of Combination of Wavelet-Transformation and Neural Networks," 14 International Conference ?Digital Signal Procssing? (DSPA - 2012), Moscow, 28-30 March 2012, pp. 353-356.
 O.V. Mandrikova, ‘Optimization of a Neural Network Training Procession on The Basis of Application of a Design of Wavelet-Transformation (on an Example of Modeling Ionospheric Signal Representa-tion),” Automation and Modern Technologies, No. 3, 2009, pp.14-17.
 O. V. Mandrikova, I. S. Solovjev, V. V. Geppener and D. M. Klionskiy, “Analyzing Subtle Features of Natural Time Series by Means of a Wavelet–Based Approach,” Pattern Recognition and Image Analysis, Vol. 22, No. 2, 2012, pp. 323–332. doi:10.1134/S1054661812020083
 O.V. Mandrikova , I.S. Solovyev, V.V.Geppener, D.M. Klionskiy and R. T. Al-Kasasbeh, “Analysis of the Earth's magnetic field variations on the basis of a wavelet-based approach,” Digital Signal Processing, In Press.
 Ali G. Hafez and Essam Ghamry, “Automatic detection of geomagnetic sudden Commencements via Time Frequency Clusters,” Ad-vances Space Research, Vol. 48, Issue 9, 2011, pp. 1537–1544. doi:10.1016/j.asr.2011.05.025
 Ali G. Hafez, Tahir A. Khan and T. Kohda, “Clear P-wave Ar-rival of Weak Events and Automatic Onset Determination Using Wavelet Filter Banks,” Digital Signal Processing, Vol. 20, Issue 3, 2010, pp. 715-723. doi:10.1016/j.dsp.2009.10.002
 H.A. Barhatov and C.E. Revunov, “Forecasting of Critical Frequency Ionospheric Layer F2 a Method of Artificial Neural Networks,” VIII Nizhniy Novgorod Session of Young Scientists. Natural-Science Disciplines, Thesis, Dzerz-hinsk, 2003.
 H.A. Barhatov, C.E. Revunov and V.P. Urjadov, “Technology of Artificial Neural Networks for Forecasting of Critical Frequency Ionospheric Layer F2,” News of HIGH SCHOOLS "Radio Physicists", Vol. 48, 2005, pp.1-15.