Multiuser remote access to distributed heterogeneous system of programmable logic based laboratory equipment for remote digital circuits design labs

Autor: Mikhail N. Yokhin, Maxim M. Stepanov

Publikováno v: Современные информационные технологии и IT-образование, Vol 13, Iss 4, Pp 65-81 (2017)

The paper contains an analysis of perspective structures of software and hardware equipment of universal digital design laboratories with the purpose of enabling laboratory classes of digital circuit design to be taken remotely. Implementation charac

Externí odkaz: https://doaj.org/article/1bffe8ecfba64fc5831281fa73c1b772

Issues of Static and Dynamic Graphical Testing of Stochastic Transformations Results

Autor: Maxim M. Stepanov, Andrey V. Chirkin, Ilya V. Chugunkov, Anton O. Prokofiev

Publikováno v: 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).

The article deals with the pseudorandom number generators exploration using graphical methods. In this paper, we defined the necessary tools for building graphical tests and consider the features of static and dynamic PRNG research methods. Also, a m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::392ba26b64f94a0e27fb57691e545e4f
https://doi.org/10.1109/elconrus51938.2021.9396587

Application of the successive concessions method for optimizing the topology of information control systems with multiple-bus architecture

Autor: Maxim M. Stepanov, Mihail N. Yokhin

Publikováno v: 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

The paper proposes an approach to multicriteria optimization of distributed information control systems with multiple-bus architecture based on the method of successive concessions. The main criterion is “network reliability”, the secondary one i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdb82c0fd1b982d00b106420df6e9291
https://doi.org/10.1109/eiconrus.2018.8317051

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging.

Autor: Li W; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Lin HM; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada., Lin A; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Napoleone M; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Moreland R; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Murari A; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Stepanov M; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Ivanov E; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Prasad AS; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Shih G; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Hu Z; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada., Zulbayar S; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada., Sejdić E; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.; North York General Hospital, Toronto, ON, Canada., Colak E; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.; Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Publikováno v: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes [Can Assoc Radiol J] 2024 Feb; Vol. 75 (1), pp. 82-91. Date of Electronic Publication: 2023 Jul 13.