Oleg Alienin

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

Computer Science · Physical Sciences

9h-index237citations25works1.52yr avg
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Research Topics

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

Publications24 total

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
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
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
2019· 7 cited
Scaling Analysis of Specialized Tensor Processing Architectures for Deep Learning Models
Studies in computational intelligence·2019· 32 cited
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Frequent Co-authors

Yuri Gordienko(24), Oleksandr Rokovyi(21), Sergii Stirenko(13), Yuriy Kochura(11), Sergii Stirenko(11), Nikita Gordienko(9), Vlad Taran(6), Gang Peng(5), Wei Zeng(3), Kostiantyn Kostiukevych(3), Maksym Shulha(3), Michail Novotarskiy(2), Yevhenii Trochun(2), Andrii Polukhin(2), Alexandr Rokovyi(1), Petro Vorotyntsev(1), Evgen Pavlov(1), Volodymyr Doms(1), Zhen Wang(1), Guoiming Lai(1)