eal time data processing;
real time data processing and derivatives estimation;
using of spline approximation in forecasting problems;
wavelet transform and wavelet transformation results presentation;
transport mathematics.
Main publications:
Kochegurova E. A. , Gorokhova E. S., “Real-Time Recovery of Functions and their Derivatives by Variation Splines”, Key Engineering Materials, 685 (2016), 920–924
Kochegurova E. A. , Gorokhova E. S., “Current Derivative Estimation of Non-stationary Processes Based on Metrical Information // Lecture Notes in Computer ScienceCurrent Derivative Estimation of Non-stationary Processes Based on Metrical Information”, Lecture Notes in Computer Science, 9330, Issue Lecture Notes in Artificial Intelligence (2015), 512–519
Yurchenko M. A. , Kochegurova E. A. , Fadeev A. S. , Piletskaya A. Y., “Calculation of performance indicators for passenger transport based on telemetry information”, Engineering Technology, Engineering Education and Engineering Management (ETEEEM 2014), Taylor & Francis Group, London, 2015, 847–851
E. A. Kochegurova, E. Yu. Repina, V. Tsekhan, “Hybrid approach for time series forecasting based on a penalty p-spline and evolutionary optimization”, Computer Optics, 44:5 (2020), 821–829
Contact us: