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)

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 (CSIT (2), 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)

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 (COLINS, 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 (COLINS, 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 (COLINS, 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 (MoMLeT+DS, 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 (MoMLeT+DS, 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)

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)

On Applying the Structured Model "State-Probability of Action" to Multi-Criteria Decision Making and Contradictory Reasoning. - Oleksiy Oletsky; Ivan Peleshchak (MoMLeT+DS, 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)

Classification of Dynamic Objects Using a Multilayer Perceptron. - Ivan Peleshchak; Diana Koshtura; Mykhailo Luchkevych; Volodymyr Tymchuk (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)

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)

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)