Two variables time-and-frequency signals parameters in a digital code neural network converters synthesis procedure on the perceptrons basis. - Sergey V. Chelebaev; Yulia A. Chelebaeva (MECO, 2014)

The converter structure of time-and-frequency signals parameters in a code of two variables on the recurrent network basis. - Sergey V. Chelebaev; Yulia A. Chelebaeva (MECO, 2015)

Structures synthesis of the functional converters based on multilevel neural network description. - Andrey V. Antonenko; Yulia A. Chelebaeva (MECO, 2016)

Converters structures synthesis of time-and-frequency signals parameters in the code of two variables on the radial basis network. - Sergey V. Chelebaev; Yulia A. Chelebaeva (MECO, 2016)

Frequency converters in a code of one and two variables of the follow-up action principle on the modified Hopfild's network basis. - Sergey V. Chelebaev; Yulia A. Chelebaeva (MECO, 2017)

Real-time heart rate parameter analysis based on artificial neural networks. - Olga V. Melnik; Yulia A. Chelebaeva; Sergey V. Chelebaev (MECO, 2017)

Application of simulation modeling for the analysis of neurons of converters of time-and-frequency parameters of signals in a digital code. - Sergey V. Chelebaev; Olga V. Melnik; Yulia A. Chelebaeva (MECO, 2018)

Neural Network Models of Cardiorhythmograms Analysis. - Olga V. Melnik; Yulia A. Chelebaeva; Sergey V. Chelebaev (MECO, 2019)

Method of Neural Network Adjustment of Frequency Converters into Code of Two Variables Based on Multilayer Perceptrons. - Sergey V. Chelebaev; Olga V. Melnik; Yulia A. Chelebaeva (MECO, 2020)