Roman Peleshchak

Orcid: 0000-0002-0536-3252

According to our database1, Roman Peleshchak authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Object image recognition using multilayer perceptron combined with Singular value decomposition.
Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), 2024

Modern trends of communications in higher education: problems and prospects.
Proceedings of the Modern Data Science Technologies Workshop (MoDaST-2024), Lviv, Ukraine, 2024

A Vector Error Correction Model Approach to Analyze the Causality Among SME Export-Import Activity and the Economic Development of EU Countries.
Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

Detection of Similarity Between Images Based on Contrastive Language-Image Pre-Training Neural Network.
Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

Influence of the Number of Neighbours on the Clustering Metric by Oscillatory Chaotic Neural Network with Dipole Synaptic Connections.
Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

2023
Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022
Automatic Identification of Sound Source Position Coordinates Using a Sound Metric System of Sensors Linked with an Internet Connection.
Symmetry, 2022

Morphology of Convolutional Neural Network with Diagonalized Pooling.
Proceedings of the Modelling and Development of Intelligent Systems, 2022

Text Tonality Classification Using a Hybrid Convolutional Neural Network with Parallel and Sequential Connections Between Layers.
Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022

2021
Information System for Monitoring Personal Health Status Based on Big Data Analysis.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, 2021

Big Data Analysis for Multispectral Images Recognition Based on Deep Learning.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

A Neural Network Development for Multispectral Images Recognition.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

The Multiclass Classification of Objects Based on Multispectral Images Recognition.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

2020
Optimization Model of the Buses Number on the Route Based on Queueing Theory in a Smart City.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology.
Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

2019
An Application Development for Recognizing of View in Order to Control the Mouse Pointer.
Proceedings of the Modern Machine Learning Technologies, 2019

A Smart Home System Development.
Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

Size optimization of the Multilayer Neural Network in the Framework of the Nonlinear Generalized Error Model.
Proceedings of the 9th International Conference on Advanced Computer Information Technologies, 2019

2018
Satellite Spectral Information Recognition Based on the Synthesis of Modified Dynamic Neural Networks and Holographic Data Processing Techniques.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018


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