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 (CSIT (1), 2018)

Size optimization of the Multilayer Neural Network in the Framework of the Nonlinear Generalized Error Model. - Vasyl Lytvyn; Ivan Peleshchak; Roman Peleshchak; Oleh Kuzyk (ACIT, 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 (CSIT, 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 (MoMLeT, 2019)

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 (COLINS, 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 (MoMLeT+DS, 2020)

The Multiclass Classification of Objects Based on Multispectral Images Recognition. - Anastasiia Sartiukova; Roman Peleshchak; Ivan Peleshchak; Victoria Vysotska (CSIT (1), 2021)

A Neural Network Development for Multispectral Images Recognition. - Stepan Tchynetskyi; Roman Peleshchak; Ivan Peleshchak; Victoria Vysotska (CSIT (2), 2021)

Big Data Analysis for Multispectral Images Recognition Based on Deep Learning. - Serhii Voloshyn; Roman Peleshchak; Ivan Peleshchak; Victoria Vysotska (CSIT (1), 2021)

Information System for Monitoring Personal Health Status Based on Big Data Analysis. - Bohdan Oheruk; Roman Peleshchak (MoMLeT+DS, 2021)

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 (COLINS, 2022)

Morphology of Convolutional Neural Network with Diagonalized Pooling. - Roman Peleshchak; Vasyl Lytvyn; Oleksandr Mediakov; Ivan Peleshchak (MDIS, 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)

Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors. - Roman Peleshchak; Vasyl Lytvyn; Ivan Peleshchak; Serhii Voloshyn (IDAACS, 2023)

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 (CIAW, 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 (COLINS (1), 2024)

Detection of Similarity Between Images Based on Contrastive Language-Image Pre-Training Neural Network. - Vasyl Lytvyn; Roman Peleshchak; Ihor Rishnyak; Bohdan Kopach; Yuriy Gal (COLINS (1), 2024)

A Vector Error Correction Model Approach to Analyze the Causality Among SME Export-Import Activity and the Economic Development of EU Countries. - Roman Peleshchak; Bohdan Kyshakevych; Bohdan Demediuk; Yaroslav Kis; Oleh Peleshchak (COLINS (1), 2024)

Determining Aviation Equipment Malfunctions Type Influence on Neural Network Diagnostic Models Behavior. - Serhii Vladov; Victoria Vysotska; Valerii Sokurenko; Oleksandr Muzychuk; Roman Peleshchak; Ivan Peleshchak (CSIT, 2024)

Modern trends of communications in higher education: problems and prospects. - Roman Peleshchak; Andrii Khudyi; Ihor Matviy; Roman Miroshnyk; Iryna Bahlai; Lina Halaz (MoDaST, 2024)

Object image recognition using multilayer perceptron combined with Singular value decomposition. - Vasyl Lytvyn; Ivan Peleshchak; Roman Peleshchak; Iryna Shakleina; Nazarii Mozol; Dmytro Svyshch (MoMLeT, 2024)

Influence of the Symmetry Neural Network Morphology on the Mine Detection Metric. - Roman Mykhailovych Peleshchak; Vasyl Volodymyrovych Lytvyn; Mariia Nazarkevych; Ivan Romanovych Peleshchak; Hanna Yaroslavivna Nazarkevych (Symmetry, 2024)

Detection and recognition of mines using magnetic field sensors and Kolmogorov-Arnold networks. - Roman Peleshchak; Vasyl Lytvyn; Ivan Peleshchak; Viacheslav Beltiukov; Danylo Chystyakov; Yaroslav Kis (MoMLeT, 2025)

An intelligent system for forecasting time series based on a neural network with LSTM-blocks. - Vasyl Lytvyn; Ivan Peleshchak; Yurii Futryk; Roman Peleshchak; Andriy Khudyy; Andriy Senyk (SMARTINDUSTRY, 2025)