Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks. - Vladyslav Taran; Oleg Alienin; Sergii G. Stirenko; Anis Rojbi; Yuri G. Gordienko (CoRR, 2017)

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. - Vlad Taran; Nikita Gordienko; Yuriy Kochura; Yuri G. Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CompSysTech, 2018)

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting. - Nikita Gordienko; Yuriy Kochura; Vlad Taran; Peng Gang; Yuri G. Gordienko; Sergii G. Stirenko (CoRR, 2018)

Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases. - Yuriy Kochura; Yuri G. Gordienko; Vlad Taran; Nikita Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CoRR, 2018)

Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. - Vlad Taran; Yuri G. Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CoRR, 2019)

Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures. - Yuri G. Gordienko; Yuriy Kochura; Vlad Taran; Nikita Gordienko; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (Adv. Comput., 2021)

Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning. - Yuri G. Gordienko; Nikita Gordienko; Vladyslav Taran; Anis Rojbi; Sergii Telenyk; Sergii G. Stirenko (Frontiers Neuroinformatics, 2025)