Oleksandr Rokovyi

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” — UA

Computer Science · Physical Sciences

8h-index162citations24works1.02yr avg
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Research Topics

Advanced Neural Network Applications(7), EEG and Brain-Computer Interfaces(4), AI in cancer detection(4), COVID-19 diagnosis using AI(4), Infrared Target Detection Methodologies(3)

Publications23 total

UAeroNet: domain-specific dataset for automation of unmanned aerial vehicles
Information, computing and intelligent systems·2025Open Access
Hyperparameter Tuning by Evolutionary Algorithm for Object Detection on Multimodal Satellite Imagery
Algorithms for intelligent systems·2024· 2 cited
Multimodal Metadata Augmentation for Federated Learning in Medical Applications
Lecture notes in networks and systems·2024· 1 cited
Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery<sup>*</sup>
2023· 1 cited
Edge Intelligence Resource Consumption by UAV-based IR Object Detection
2023· 6 citedOpen Access
Fuzzy Metadata Augmentation for Multimodal Data Classification
Lecture notes on data engineering and communications technologies·2023· 2 cited
Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications
Studies in computational intelligence·2023· 1 cited
Context-Aware Data Augmentation for Efficient Object Detection by UAV Surveillance
2022· 4 cited
Edge Intelligence for Medical Applications Under Field Conditions
Lecture notes on data engineering and communications technologies·2022· 11 cited
Artificial Intelligence Platform for Distant Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) of Human Diseases
Lecture notes on data engineering and communications technologies·2022· 5 cited
Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography
Lecture notes in computer science·2022
Deep Learning with Noise Data Augmentation and Detrended Fluctuation Analysis for Physical Action Classification by Brain-Computer Interface
2021· 4 cited
Hurricane Damage Detection by Classic and Hybrid Classic-Quantum Neural Networks
2021· 9 cited
Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)·2021· 6 cited
Hybrid Classic-Quantum Neural Networks for Image Classification
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)·2021· 19 cited
Satellite Image Segmentation Using Deep Learning for Deforestation Detection
2021 IEEE 3rd Ukraine Conference on Electrical and Computer Engineering (UKRCON)·2021· 21 cited
Deep Learning for Melanoma Detection with Testing Time Data Augmentation
Lecture notes on data engineering and communications technologies·2021· 10 cited
Deep Learning for Grasp-and-Lift Movement Forecasting Based on Electroencephalography by Brain-Computer Interface
Lecture notes on data engineering and communications technologies·2021· 8 cited
“Last mile” optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures
Advances in computers·2020· 26 cited
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
arXiv (Cornell University)·2019Open Access
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Frequent Co-authors

Yuri Gordienko(22), Oleg Alienin(21), Sergii Stirenko(13), Yuriy Kochura(9), Sergii Stirenko(9), Nikita Gordienko(8), Vlad Taran(6), Gang Peng(5), Yevhenii Trochun(3), Wei Zeng(3), Kostiantyn Kostiukevych(3), Maksym Shulha(3), Andrii Polukhin(2), Petro Vorotyntsev(1), Evgen Pavlov(1), Volodymyr Doms(1), Zhen Wang(1), Guoiming Lai(1), Wei Zeng(1), Mairo Leier(1)