Ivan Peleshchak

26 papers Misc 2Journal 1Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An intelligent system for forecasting time series based on a neural network with LSTM-blocks. SMARTINDUSTRY Vasyl Lytvyn, Ivan Peleshchak, Yurii Futryk, Roman Peleshchak, Andriy Khudyy, Andriy Senyk
2025	—	`conf`	Detection and recognition of mines using magnetic field sensors and Kolmogorov-Arnold networks. MoMLeT Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Viacheslav Beltiukov, Danylo Chystyakov, Yaroslav Kis
2024	—	`conf`	Classification of Dynamic Objects Using a Multilayer Perceptron. COLINS (1) Ivan Peleshchak, Diana Koshtura, Mykhailo Luchkevych, Volodymyr Tymchuk
2024	Misc	`conf`	Determining Aviation Equipment Malfunctions Type Influence on Neural Network Diagnostic Models Behavior. CSIT Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Roman Peleshchak, Ivan Peleshchak
2024	—	`conf`	Influence of the Number of Neighbours on the Clustering Metric by Oscillatory Chaotic Neural Network with Dipole Synaptic Connections. COLINS (1) Vasyl Lytvyn, Dmytro Dudyk, Ivan Peleshchak, Roman Peleshchak, Petro Pukach
2024	—	`conf`	Object image recognition using multilayer perceptron combined with Singular value decomposition. MoMLeT Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Iryna Shakleina, Nazarii Mozol, Dmytro Svyshch
2024	—	`conf`	Smart system for passive detection and classification of mines using feed-forward deep neural networks. CIAW Vasyl Lytvyn, Roman Peleshchak, Victoria Vysotska, Ivan Peleshchak, Lyubomyr Chyrun, Mariia Nazarkevych, Serhii Vladov, Olga Lozynska, Serhii Voloshyn, Olena Nagachevska
2023	—	`conf`	Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors. IDAACS Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Serhii Voloshyn
2022	J	`jnl`	Automatic Identification of Sound Source Position Coordinates Using a Sound Metric System of Sensors Linked with an Internet Connection. Symmetry Agnieszka Kowalska-Styczen, Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andrii Dyriv, Vitaliy Danylyk
2022	—	`conf`	Morphology of Convolutional Neural Network with Diagonalized Pooling. MDIS Roman Peleshchak, Vasyl Lytvyn, Oleksandr Mediakov, Ivan Peleshchak
2022	—	`conf`	On Applying the Structured Model "State-Probability of Action" to Multi-Criteria Decision Making and Contradictory Reasoning. MoMLeT+DS Oleksiy Oletsky, Ivan Peleshchak
2022	—	`conf`	Text Tonality Classification Using a Hybrid Convolutional Neural Network with Parallel and Sequential Connections Between Layers. COLINS Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andriy Khudyy, Zoriana Rybchak, Solomiya Mushasta
2021	—	`conf`	A Neural Network Development for Multispectral Images Recognition. CSIT (2) Stepan Tchynetskyi, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
2021	—	`conf`	Big Data Analysis for Multispectral Images Recognition Based on Deep Learning. CSIT (1) Serhii Voloshyn, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
2021	—	`conf`	The Multiclass Classification of Objects Based on Multispectral Images Recognition. CSIT (1) Anastasiia Sartiukova, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
2020	—	`conf`	An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology. COLINS Stepan Makara, Lyubomyr Chyrun, Yevhen Burov, Zoriana Rybchak, Ivan Peleshchak, Roman Peleshchak, Roman Holoshchuk, Solomiya Kubinska, Alina Dmytriv
2020	—	`conf`	Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning. MoMLeT+DS Diana Koshtura, Myroslava Bublyk, Yurii Matseliukh, Dmytro Dosyn, Liliya Chyrun, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Mariya Maslak, Oleg Sachenko
2020	—	`conf`	Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning. MoMLeT+DS Iryna Bodnar, Myroslava Bublyk, Oleh Veres, Olga Lozynska, Ihor Karpov, Yevhen Burov, Petro Kravets, Ivan Peleshchak, Olena Vovk, Olga Maslak
2020	—	`conf`	Information System for Recommendation List Formation of Clothes Style Image Selection According to User's Needs Based on NLP and Chatbots. COLINS Vitaliy Husak, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Sofia Chyrun, Anatolii Vysotskyi
2020	—	`conf`	Optimization Model of the Buses Number on the Route Based on Queueing Theory in a Smart City. MoMLeT+DS Liliia Podlesna, Myroslava Bublyk, Igor Grybyk, Yurii Matseliukh, Yevhen Burov, Petro Kravets, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Roman Peleshchak
2020	—	`conf`	Structural Modeling of Technical Text Analysis and Synthesis Processes. COLINS Rostyslav Bekesh, Liliya Chyrun, Petro Kravets, Andriy Demchuk, Yurii Matseliukh, Taras Batiuk, Ivan Peleshchak, Roman Bigun, Igor Maiba
2019	Misc	`conf`	A Smart Home System Development. CSIT Vasyl Lytvyn, Victoria Vysotska, Nataliya Shakhovska, Vladyslav Mykhailyshyn, Mykola Medykovskyy, Ivan Peleshchak, Vitor Basto-Fernandes, Roman Peleshchak, Serhii Shcherbak
2019	—	`conf`	An Application Development for Recognizing of View in Order to Control the Mouse Pointer. MoMLeT Petro Zdebskyi, Victoria Vysotska, Roman Peleshchak, Ivan Peleshchak, Andriy Demchuk, Maksym Krylyshyn
2019	—	`conf`	Identifying Textual Content Based on Thematic Analysis of Similar Texts in Big Data. CSIT (2) Vasyl Lytvyn, Victoria Vysotska, Ivan Peleshchak, Taras Basyuk, Viktoriia Kovalchuk, Solomiya Kubinska, Bohdan Rusyn, Liubomyr Pohreliuk, Lyubomyr Chyrun, Tetyana Salo
2019	—	`conf`	Size optimization of the Multilayer Neural Network in the Framework of the Nonlinear Generalized Error Model. ACIT Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Oleh Kuzyk
2018	—	`conf`	Satellite Spectral Information Recognition Based on the Synthesis of Modified Dynamic Neural Networks and Holographic Data Processing Techniques. CSIT (1) Vasyl Lytvyn, Ivan Peleshchak, Victoria Vysotska, Roman Peleshchak