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ORCIDIvan Peleshchak
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2020 – today
- 2024
[c22]Vasyl Lytvyn, Roman Peleshchak, Victoria Vysotska, Ivan Peleshchak, Lyubomyr Chyrun, Mariia Nazarkevych, Serhii Vladov, Olga Lozynska, Serhii Voloshyn, Olena Nagachevska:
Smart system for passive detection and classification of mines using feed-forward deep neural networks. CIAW 2024: 77-111- [c21]Vasyl Lytvyn, Dmytro Dudyk, Ivan Peleshchak, Roman Peleshchak, Petro Pukach:
Influence of the Number of Neighbours on the Clustering Metric by Oscillatory Chaotic Neural Network with Dipole Synaptic Connections. COLINS (1) 2024: 24-34 - [c20]Ivan Peleshchak, Diana Koshtura, Mykhailo Luchkevych, Volodymyr Tymchuk:
Classification of Dynamic Objects Using a Multilayer Perceptron. COLINS (1) 2024: 192-203 - [c19]Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Iryna Shakleina, Nazarii Mozol, Dmytro Svyshch:
Object image recognition using multilayer perceptron combined with Singular value decomposition. MoMLeT 2024: 225-234 - 2023
- [c18]Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Serhii Voloshyn:
Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors. IDAACS 2023: 546-549 - 2022
- [j1]Agnieszka Kowalska-Styczen
, Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andrii Dyriv, Vitaliy Danylyk:
Automatic Identification of Sound Source Position Coordinates Using a Sound Metric System of Sensors Linked with an Internet Connection. Symmetry 14(11): 2338 (2022) - [c17]Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Andriy Khudyy, Zoriana Rybchak, Solomiya Mushasta:
Text Tonality Classification Using a Hybrid Convolutional Neural Network with Parallel and Sequential Connections Between Layers. COLINS 2022: 904-915 - [c16]Roman Peleshchak, Vasyl Lytvyn, Oleksandr Mediakov, Ivan Peleshchak:
Morphology of Convolutional Neural Network with Diagonalized Pooling. MDIS 2022: 161-172 - [c15]Oleksiy Oletsky, Ivan Peleshchak:
On Applying the Structured Model "State-Probability of Action" to Multi-Criteria Decision Making and Contradictory Reasoning. MoMLeT+DS 2022: 189-199 - 2021
- [c14]Anastasiia Sartiukova, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska:
The Multiclass Classification of Objects Based on Multispectral Images Recognition. CSIT (1) 2021: 52-60 - [c13]Serhii Voloshyn, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska:
Big Data Analysis for Multispectral Images Recognition Based on Deep Learning. CSIT (1) 2021: 160-170 - [c12]Stepan Tchynetskyi, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska:
A Neural Network Development for Multispectral Images Recognition. CSIT (2) 2021: 278-284 - 2020
- [c11]Rostyslav Bekesh, Liliya Chyrun, Petro Kravets, Andriy Demchuk, Yurii Matseliukh, Taras Batiuk, Ivan Peleshchak, Roman Bigun, Igor Maiba:
Structural Modeling of Technical Text Analysis and Synthesis Processes. COLINS 2020: 562-589 - [c10]Vitaliy Husak, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Sofia Chyrun, Anatolii Vysotskyi:
Information System for Recommendation List Formation of Clothes Style Image Selection According to User's Needs Based on NLP and Chatbots. COLINS 2020: 788-818 - [c9]Stepan Makara, Lyubomyr Chyrun, Yevhen Burov, Zoriana Rybchak, Ivan Peleshchak, Roman Peleshchak, Roman Holoshchuk, Solomiya Kubinska, Alina Dmytriv:
An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology. COLINS 2020: 844-883 - [c8]Diana Koshtura, Myroslava Bublyk, Yurii Matseliukh, Dmytro Dosyn, Liliya Chyrun, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Mariya Maslak, Oleg Sachenko:
Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning. MoMLeT+DS 2020: 172-183 - [c7]Iryna Bodnar, Myroslava Bublyk, Oleh Veres, Olga Lozynska, Ihor Karpov, Yevhen Burov, Petro Kravets, Ivan Peleshchak, Olena Vovk, Olga Maslak:
Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning. MoMLeT+DS 2020: 491-501 - [c6]Liliia Podlesna, Myroslava Bublyk, Igor Grybyk, Yurii Matseliukh, Yevhen Burov, Petro Kravets, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Roman Peleshchak:
Optimization Model of the Buses Number on the Route Based on Queueing Theory in a Smart City. MoMLeT+DS 2020: 502-515
2010 – 2019
- 2019
- [c5]Vasyl Lytvyn, Ivan Peleshchak, Roman Peleshchak, Oleh Kuzyk:
Size optimization of the Multilayer Neural Network in the Framework of the Nonlinear Generalized Error Model. ACIT 2019: 221-225 - [c4]Vasyl Lytvyn, Victoria Vysotska, Ivan Peleshchak, Taras Basyuk, Viktoriia Kovalchuk, Solomiya Kubinska, Bohdan Rusyn, Liubomyr Pohreliuk, Lyubomyr Chyrun, Tetyana Salo:
Identifying Textual Content Based on Thematic Analysis of Similar Texts in Big Data. CSIT (2) 2019: 84-91 - [c3]Vasyl Lytvyn, Victoria Vysotska, Nataliya Shakhovska, Vladyslav Mykhailyshyn, Mykola Medykovskyy, Ivan Peleshchak, Vitor Basto-Fernandes, Roman Peleshchak, Serhii Shcherbak:
A Smart Home System Development. CSIT 2019: 804-830 - [c2]Petro Zdebskyi, Victoria Vysotska, Roman Peleshchak, Ivan Peleshchak, Andriy Demchuk, Maksym Krylyshyn:
An Application Development for Recognizing of View in Order to Control the Mouse Pointer. MoMLeT 2019: 55-74 - 2018
- [c1]Vasyl Lytvyn, Ivan Peleshchak, Victoria Vysotska, Roman Peleshchak:
Satellite Spectral Information Recognition Based on the Synthesis of Modified Dynamic Neural Networks and Holographic Data Processing Techniques. CSIT (1) 2018: 330-334
Coauthor Index
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last updated on 2024-12-12 21:01 CET by the dblp team
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