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Oleksandr Semeniuta
Title
Cited by
Cited by
Year
Optimization of process parameters for powder bed fusion additive manufacturing by combination of machine learning and finite element method: A conceptual framework
I Baturynska, O Semeniuta, K Martinsen
Procedia Cirp 67, 227-232, 2018
1562018
Analysis of camera calibration with respect to measurement accuracy
O Semeniuta
Procedia Cirp 41, 765-770, 2016
512016
Towards increased intelligence and automatic improvement in industrial vision systems
O Semeniuta, S Dransfeld, K Martinsen, P Falkman
Procedia cirp 67, 256-261, 2018
392018
Vision-based robotic system for picking and inspection of small automotive components
O Semeniuta, S Dransfeld, P Falkman
2016 IEEE International Conference on Automation Science and Engineering …, 2016
292016
Deburring using robot manipulators: A review
IF Onstein, O Semeniuta, M Bjerkeng
2020 3rd international symposium on small-scale intelligent manufacturing …, 2020
282020
Application of machine learning methods to improve dimensional accuracy in additive manufacturing
I Baturynska, O Semeniuta, K Wang
Advanced manufacturing and automation VIII 8, 245-252, 2019
242019
MEML: Resource-aware MQTT-based machine learning for network attacks detection on IoT edge devices
A Shalaginov, O Semeniuta, M Alazab
Proceedings of the 12th IEEE/ACM International Conference on Utility and …, 2019
222019
Tolerancing from STL data: a legacy challenge
TL Leirmo, O Semeniuta, K Martinsen
Procedia Cirp 92, 218-223, 2020
92020
Investigating the Dimensional and Geometric Accuracy of Laser-Based Powder Bed Fusion of PA2200 (PA12): Experiment Design and Execution
TL Leirmo, O Semeniuta
Applied Sciences 11 (5), 2031, 2021
82021
EPypes: a framework for building event-driven data processing pipelines
O Semeniuta, P Falkman
PeerJ Computer Science 5, e176, 2019
52019
Flexible image acquisition service for distributed robotic systems
O Semeniuta, P Falkman
2018 Second IEEE International Conference on Robotic Computing (IRC), 106-112, 2018
52018
Subset-based stereo calibration method optimizing triangulation accuracy
O Semeniuta
PeerJ Computer Science 7, e485, 2021
32021
Extracting shape features from a surface mesh using geometric reasoning
TL Leirmo, O Semeniuta, I Baturynska, K Martinsen
Procedia CIRP 93, 544-549, 2020
32020
Event-driven industrial robot control architecture for the Adept V+ platform
O Semeniuta, P Falkman
PeerJ Computer Science 5, e207, 2019
32019
Cascading trade‐off studies for robotic deburring systems
IF Onstein, C Haskins, O Semeniuta
Systems Engineering 25 (5), 475-488, 2022
22022
Discrete event dataflow as a formal approach to specification of industrial vision systems
O Semeniuta, P Falkman
2015 IEEE International Conference on Automation Science and Engineering …, 2015
22015
Minimizing form errors in additive manufacturing with part build orientation: An optimization method for continuous solution spaces
TL Leirmo, O Semeniuta
Open Engineering 12 (1), 227-244, 2022
12022
Flexible Composition of Robot Logic with Computer Vision Services
O Semeniuta
PQDT-Global, 2018
2018
Calibration of robot vision systems for flexible assembly
O Semeniuta
Høgskolen i Gjøvik, 2014
2014
Розробка засобів оптимізації схем водоспоживання на основі моделей у неявному вигляді
ОО Квітка, АМ Шахновський, ОМ Семенюта
НТУУ «КПІ», 2012
2012
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Articles 1–20