Ivan Peleshchak

According to our database, Ivan Peleshchak authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Object image recognition using multilayer perceptron combined with Singular value decomposition.

Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Iryna Shakleina, Nazarii Mozol, Dmytro Svyshch

Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), 2024

Classification of Dynamic Objects Using a Multilayer Perceptron.

Ivan Peleshchak, Diana Koshtura, Mykhailo Luchkevych, Volodymyr Tymchuk

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.

Vasyl Lytvyn, Dmytro Dudyk, Ivan Peleshchak, Roman Peleshchak, Petro Pukach

Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop, 2024

Smart system for passive detection and classification of mines using feed-forward deep neural networks.

Vasyl Lytvyn, Roman Peleshchak, Victoria Vysotska, Ivan Peleshchak, Lyubomyr Chyrun, Mariia Nazarkevych, Serhii Vladov, Olga Lozynska, Serhii Voloshyn, Olena Nagachevska

Proceedings of the Computational Intelligence Application Workshop (CIAW 2024), 2024

2023

Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors.

Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Serhii Voloshyn

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.

Agnieszka Kowalska-Styczen, Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andrii Dyriv, Vitaliy Danylyk

Symmetry, 2022

On Applying the Structured Model "State-Probability of Action" to Multi-Criteria Decision Making and Contradictory Reasoning.

Oleksiy Oletsky, Ivan Peleshchak

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 2022

Morphology of Convolutional Neural Network with Diagonalized Pooling.

Roman Peleshchak, Vasyl Lytvyn, Oleksandr Mediakov, Ivan Peleshchak

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.

Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andriy Khudyy, Zoriana Rybchak, Solomiya Mushasta

Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022

2021

Big Data Analysis for Multispectral Images Recognition Based on Deep Learning.

Serhii Voloshyn, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

A Neural Network Development for Multispectral Images Recognition.

Stepan Tchynetskyi, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

The Multiclass Classification of Objects Based on Multispectral Images Recognition.

Anastasiia Sartiukova, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska

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.

Liliia Podlesna, Myroslava Bublyk, Igor Grybyk, Yurii Matseliukh, Yevhen Burov, Petro Kravets, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Roman Peleshchak

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning.

Diana Koshtura, Myroslava Bublyk, Yurii Matseliukh, Dmytro Dosyn, Liliya Chyrun, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Mariya Maslak, Oleg Sachenko

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning.

Iryna Bodnar, Myroslava Bublyk, Oleh Veres, Olga Lozynska, Ihor Karpov, Yevhen Burov, Petro Kravets, Ivan Peleshchak, Olena Vovk, Olga Maslak

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.

Stepan Makara, Lyubomyr Chyrun, Yevhen Burov, Zoriana Rybchak, Ivan Peleshchak, Roman Peleshchak, Roman Holoshchuk, Solomiya Kubinska, Alina Dmytriv

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

Information System for Recommendation List Formation of Clothes Style Image Selection According to User's Needs Based on NLP and Chatbots.

Vitaliy Husak, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Sofia Chyrun, Anatolii Vysotskyi

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

Structural Modeling of Technical Text Analysis and Synthesis Processes.

Rostyslav Bekesh, Liliya Chyrun, Petro Kravets, Andriy Demchuk, Yurii Matseliukh, Taras Batiuk, Ivan Peleshchak, Roman Bigun, Igor Maiba

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.

Petro Zdebskyi, Victoria Vysotska, Roman Peleshchak, Ivan Peleshchak, Andriy Demchuk, Maksym Krylyshyn

Proceedings of the Modern Machine Learning Technologies, 2019

A Smart Home System Development.

Vasyl Lytvyn, Victoria Vysotska, Nataliya Shakhovska, Vladyslav Mykhailyshyn, Mykola Medykovskyy, Ivan Peleshchak, Vitor Basto-Fernandes, Roman Peleshchak, Serhii Shcherbak

Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

Identifying Textual Content Based on Thematic Analysis of Similar Texts in Big Data.

Vasyl Lytvyn, Victoria Vysotska, Ivan Peleshchak, Taras Basyuk, Viktoriia Kovalchuk, Solomiya Kubinska, Bohdan Rusyn, Liubomyr Pohreliuk, Lyubomyr Chyrun, Tetyana Salo

Proceedings of the 14th IEEE International Conference on Computer Sciences and Information Technologies, 2019

Size optimization of the Multilayer Neural Network in the Framework of the Nonlinear Generalized Error Model.

Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Oleh Kuzyk

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.

Vasyl Lytvyn, Ivan Peleshchak, Victoria Vysotska, Roman Peleshchak

Proceedings of the Advances in Intelligent Systems and Computing III, 2018