Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rokovyi, Oleksandr"'
The assessment of energy expenditure in real life is of great importance for monitoring the current physical state of people, especially in work, sport, elderly care, health care, and everyday life even. This work reports about application of some ma
Externí odkaz:
http://arxiv.org/abs/1912.09848
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Autor:
Gordienko, Nikita, Gang, Peng, Gordienko, Yuri, Zeng, Wei, Alienin, Oleg, Rokovyi, Oleksandr, Stirenko, Sergii
Publikováno v:
In: Cheng L., Leung A., Ozawa S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol. 11305, pp. 414-424. Springer, Cham
Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukraine). A new image dataset of these carved Glagolitic and Cyrillic letter
Externí odkaz:
http://arxiv.org/abs/1808.10862
Autor:
Stirenko, Sergii, Peng, Gang, Zeng, Wei, Gordienko, Yuri, Alienin, Oleg, Rokovyi, Oleksandr, Gordienko, Nikita
Publikováno v:
In: Vaidya J., Li J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science, vol 11334, 483-497. Springer, Cham
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analysis of accumulated and moving window data subsets with construction of
Externí odkaz:
http://arxiv.org/abs/1808.04760
Autor:
Stirenko, Sergii, Kochura, Yuriy, Alienin, Oleg, Rokovyi, Oleksandr, Gang, Peng, Zeng, Wei, Gordienko, Yuri
Publikováno v:
2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, 2018, pp. 422-428
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of deep learning are presented. They demonstrate the efficiency of lun
Externí odkaz:
http://arxiv.org/abs/1803.01199
Autor:
Gordienko, Yuri, Kochura, Yuriy, Taran, Vlad, Gordienko, Nikita, Rokovyi, Oleksandr, Alienin, Oleg, Stirenko, Sergii
Publikováno v:
In Advances in Computers 2021 122:303-341
This book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held in London, on February 19–22, 2024. It discusses emerging topics pertaining to information and c
This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during Ja
Autor:
Masaaki Kurosu, Sakae Yamamoto, Hirohiko Mori, Dylan D. Schmorrow, Cali M. Fidopiastis, Norbert A. Streitz, Shin'ichi Konomi
Volume LNCS 13519 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022.A total of 5583 individuals from academia, research institute
The book comprises high-quality refereed research papers presented at the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on February 20–22, 2022, organized jointly by the Na
This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22–24 January 2021, organized jointly by Wuhan Uni