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Oleksandr Semeniuta
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2020 – today
- 2022
- [j4]Ingrid Fjordheim Onstein, Cecilia Haskins, Oleksandr Semeniuta:
Cascading trade-off studies for robotic deburring systems. Syst. Eng. 25(5): 475-488 (2022) - 2021
- [j3]Oleksandr Semeniuta:
Subset-based stereo calibration method optimizing triangulation accuracy. PeerJ Comput. Sci. 7: e485 (2021)
2010 – 2019
- 2019
- [j2]Oleksandr Semeniuta, Petter Falkman:
EPypes: a framework for building event-driven data processing pipelines. PeerJ Comput. Sci. 5: e176 (2019) - [j1]Oleksandr Semeniuta, Petter Falkman:
Event-driven industrial robot control architecture for the Adept V+ platform. PeerJ Comput. Sci. 5: e207 (2019) - [c4]Andrii Shalaginov, Oleksandr Semeniuta, Mamoun Alazab:
MEML: Resource-aware MQTT-based Machine Learning for Network Attacks Detection on IoT Edge Devices. UCC Companion 2019: 123-128 - [i1]Oleksandr Semeniuta, Petter Falkman:
Event-driven industrial robot control architecture for the Adept V+ platform. PeerJ Prepr. 7: e27552 (2019) - 2018
- [c3]Oleksandr Semeniuta, Petter Falkman:
Flexible Image Acquisition Service for Distributed Robotic Systems. IRC 2018: 106-112 - 2016
- [c2]Oleksandr Semeniuta, Sebastian Dransfeld, Petter Falkman:
Vision-based robotic system for picking and inspection of small automotive components. CASE 2016: 549-554 - 2015
- [c1]Oleksandr Semeniuta, Petter Falkman:
Discrete event dataflow as a formal approach to specification of industrial vision systems. CASE 2015: 849-854
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