13 citations · 27 across the 11 of their papers we have counts for
11 papers
Demodulation of chaotic signals using convolutional neural network
Mykola Kozlenko, Emrullah Demiral, Anton Yudhana
Chaotic modulation is an effective communication technique that exploits deterministic chaos to produce pseudo-random signals. A widely adopted approach involves modulation of the…
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…
Application of deep learning approaches for medieval historical documents transcription
Maksym Voloshchuk, Bohdana Zarembovska, Mykola Kozlenko
Handwritten text recognition and optical character recognition solutions show excellent results with processing data of modern era, but efficiency drops with Latin documents of med…
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…
Machine learning based animal emotion classification using audio signals
Mariia Slobodian, Mykola Kozlenko
This paper presents the machine learning approach to the automated classification of a dog's emotional state based on the processing and recognition of audio signals. It offers hel…
Identity documents recognition and detection using semantic segmentation with convolutional neural network
Mykola Kozlenko, Volodymyr Sendetskyi, Oleksiy Simkiv +2
Object recognition and detection are well-studied problems with a developed set of almost standard solutions. Identity documents recognition, classification, detection, and localiz…
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…
The interference immunity of the telemetric information data exchange with autonomous mobile robots
Mykola Kozlenko
Purpose. To obtain the interference immunity of the data exchange by spread spectrum signals with variable entropy of the telemetric information data exchange with autonomous mobil…