Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Artem Nazarenko"'
Autor:
Aleksei Samarin, Aleksei Toropov, Alina Dzestelova, Artem Nazarenko, Egor Kotenko, Elena Mikhailova, Valentin A Malykh, Aleksandr Savelev, Alexandr Motyko, Aleksandra Dozortseva
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 2, Pp 903-911 (2024)
In this work, we describe our research aimed at developing classifiers for microbial images (bacilli images) obtained through microscopy of live (non-static) samples. We employed our proposed approach called AutoML, which is based on the automatic ge
Externí odkaz:
https://doaj.org/article/016018b9772f455382bab9c20d50b583
Wind Turbines Surface Damage Automatic Detection Using YOLOv8 with Specialized Backbone Modification
Autor:
Aleksei Samarin, Anastasiia Mamaeva, Aleksei Toropov, Alina Dzestelova, Artem Nazarenko, Egor Kotenko, Elena Mikhailova, Valentin A Malykh, Aleksandr Savelev, Alexandr Motyko
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 702-710 (2024)
This work is devoted to incorporating specialized self-attention blocks into deep neural network-based models for detecting and quantifying damage across various components of wind turbines using images captured by unmanned aerial vehicle cameras. In
Externí odkaz:
https://doaj.org/article/1e8f4f9a0ac94783ac1b0b4c776c1632
Autor:
Aleksei Samarin, Artem Nazarenko, Aleksei Toropov, Egor Kotenko, Alina Dzestelova, Elena Mikhailova, Valentin A Malykh, Alexander Savelev, Alexandr Motyko
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 711-720 (2024)
Image enhancement is crucial in digital image processing to improve visual quality across various applications. Recent advancements in deep learning and computer vision have significantly advanced automatic color correction. While heavyweight solutio
Externí odkaz:
https://doaj.org/article/71bec7a5142a4723a896b7c9e8a9c821
Publikováno v:
International Journal of Production Management and Engineering, Vol 11, Iss 2, Pp 179-186 (2023)
The next evolutionary technological step in the industry presumes the automation of the elements found within a factory, which can be accomplished through the extensive introduction of automatons, computers and Internet of Things (IoT) components. Al
Externí odkaz:
https://doaj.org/article/6fd1b4588e38402e9b2cc9b1cf2bc69d
Autor:
João Sousa, Artem Nazarenko, Christian Grunewald, Foivos Psarommatis, Francisco Fraile, Olga Meyer, João Sarraipa
Publikováno v:
Frontiers in Manufacturing Technology, Vol 2 (2022)
Zero-Defect Manufacturing (ZDM) is the next evolutionary step in quality management for manufacturing that makes use of Industry 4.0 technologies to support quality in manufacturing. These technologies help reduce the cost of inspection, allowing for
Externí odkaz:
https://doaj.org/article/8b62b80a368a49de98688c8719443938
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031279140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fec1a58898e8659d580fc2c045c25a0b
https://doi.org/10.1007/978-3-031-27915-7_57
https://doi.org/10.1007/978-3-031-27915-7_57
