Roman Peleshchak

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Personal Health

Top Venues

Publications

Vasyl Lytvyn, Roman Peleshchak, Ihor Rishnyak, Bohdan Kopach, Yuriy Gal
Detection of Similarity Between Images Based on Contrastive Language-Image Pre-Training Neural Network. COLINS (1) (2024)
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)
Roman Peleshchak, Bohdan Kyshakevych, Bohdan Demediuk, Yaroslav Kis, Oleh Peleshchak
A Vector Error Correction Model Approach to Analyze the Causality Among SME Export-Import Activity and the Economic Development of EU Countries. COLINS (1) (2024)
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)
Roman Peleshchak, Andrii Khudyi, Ihor Matviy, Roman Miroshnyk, Iryna Bahlai, Lina Halaz
Modern trends of communications in higher education: problems and prospects. MoDaST (2024)
Roman Peleshchak, Vasyl Lytvyn, Ivan Peleshchak, Serhii Voloshyn
Neural Network Technology of Mine Recognition Based on Data From Magnetic Field Sensors. IDAACS (2023)
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) (2022)
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)
Roman Peleshchak, Vasyl Lytvyn, Oleksandr Mediakov, Ivan Peleshchak
Morphology of Convolutional Neural Network with Diagonalized Pooling. MDIS (2022)
Bohdan Oheruk, Roman Peleshchak
Information System for Monitoring Personal Health Status Based on Big Data Analysis. MoMLeT+DS (2021)
Stepan Tchynetskyi, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
A Neural Network Development for Multispectral Images Recognition. CSIT (2) (2021)
Anastasiia Sartiukova, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
The Multiclass Classification of Objects Based on Multispectral Images Recognition. CSIT (1) (2021)
Serhii Voloshyn, Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
Big Data Analysis for Multispectral Images Recognition Based on Deep Learning. CSIT (1) (2021)
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)
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)
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)
Vasyl Lytvyn, Victoria Vysotska, Nataliya Shakhovska, Vladyslav Mykhailyshyn, Mykola Medykovskyy, Ivan Peleshchak, Vítor Basto Fernandes, Roman Peleshchak, Serhii Shcherbak
A Smart Home System Development. CSIT (2019)
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)
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)