23 citations
- Lviv UniversityUA5 papers
- University of LjubljanaSI4 papers
- Jan Kochanowski UniversityPL3 papers
- AGH University of KrakowPL2 papers
- Ivano-Frankivsk National Technical University of Oil and GasUA2 papers
- P.N. Lebedev Physical Institute of the Russian Academy of SciencesRU2 papers
- Taras Shevchenko National University of KyivUA2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Cracow University of TechnologyPL1 paper
- Drohobych Ivan Franko State Pedagogical UniversityUA1 paper
- Institute of MathematicsPL1 paper
- Laboratoire Paul PainlevéFR1 paper
24 papers
Research on a hybrid LSTM-CNN-Attention model for text-based web content classification
Mykola Kuz, Ihor Lazarovych, Mykola Kozlenko +2
This study presents a hybrid deep learning architecture that integrates LSTM, CNN, and an Attention mechanism to enhance the classification of web content based on text. Pretrained…
Methods for evaluating software accessibility
Mykola Kuz, Ivan Yaremiy, Hanna Yaremii +4
The development and enhancement of methods for evaluating software accessibility is a relevant challenge in modern software engineering, as ensuring equal access to digital service…
Supervised machine learning based signal demodulation in chaotic communications
Mykola Kozlenko
A chaotic modulation scheme is an efficient wideband communication method. It utilizes the deterministic chaos to generate pseudo-random carriers. Chaotic bifurcation parameter mod…
Software demodulation of weak radio signals using convolutional neural network
Mykola Kozlenko, Ihor Lazarovych, Valerii Tkachuk +1
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 de…
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
Mykola Kozlenko, Olena Zamikhovska, Leonid Zamikhovskyi
In recent years, more and more attention has been paid to the use of artificial neural networks (ANN) for diagnostics of gas pumping units (GPU). Usually, ANN training is carried o…
Software defined demodulation of multiple frequency shift keying with dense neural network for weak signal communications
Mykola Kozlenko, Vira Vialkova
In this paper we present the symbol and bit error rate performance of the weak signal digital communications system. We investigate orthogonal multiple frequency shift keying modul…