Software demodulation of weak radio signals using convolutional neural network

M Kozlenko, I Lazarovych, V Tkachuk… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network

M Kozlenko, O Zamikhovska… - … -European Journal of …, 2021 - papers.ssrn.com
In recent years, more and more attention has been paid to the use of artificial neural
networks (ANN) for the diagnostics of gas pumping units (GPU). Usually, ANN training is …

Deep learning based fault detection of natural gas pumping unit

M Kozlenko, O Zamikhovska, V Tkachuk… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Natural gas pumping unit is a very difficult object for diagnosis. A lot of combinations of
technical equipment, different operational conditions, and other factors require design and …

Time-Frequency Analysis and Type Identification of High-Density Communication Countermeasure Electronic Signals.

H Yuan, L Huang, G Si, Y Lv, T Nie… - Traitement du …, 2022 - search.ebscohost.com
With the development of communication technology, the electronic signals of communication
countermeasures become more and more complex. Facing the increasingly complicated …

Review of the Methods for Automated Recognition of Dogs Emotional State Using Acoustic Signals

M Slobodian - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of creating a tool for categorizing dogs' vocal expressions
into emotional states. Animal vocalizations can now be automatically classified using …

Research and Improvement of a Plagiarism Detection Methods Using Blockchain Technolog

R Dorosh - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
This paper proposes unified algorithm for plagiarism detection using Blockchain technology,
machine learning for text processing and SimHash for identifying near-duplicate documents …

Deep learning demodulation of amplitude noise shift keying spread spectrum signals

M Kozlenko, I Lazarovych, V Tkachuk… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Digital communications techniques based on random, chaotic, or noisy carriers are well
known and successfully used in a number of applications. Simple on-off or amplitude shift …

[引用][C] Deep learning approach to signal processing in infocommunications

M Kozlenko, I Lazarovych, M Kuz - 2020 - Taras Shevchenko National …

[引用][C] Supervised machine learning based signal demodulation in chaotic communications

M Kozlenko - 2022 - Vasyl Stefanyk Precarpathian …

[引用][C] Machine learning based animal emotion classification using audio signals

M Slobodian, M Kozlenko - 2022 - Vasyl Stefanyk Precarpathian …