Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ekaterina I. Lobaneva"'
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems. 36:470-481
Existing algorithms for identifying clients on a network segment are based on static client binding by MAC address. MAC address generation is based on pseudo-random sequences of 0–256 characters. W...
Publikováno v:
Mathematical Methods in Technologies and Technics. :118-122
Publikováno v:
Bulletin of the Saint Petersburg State Institute of Technology (Technical University). 57:105-110
The algorithmic structure of the classifier of the state of the technological process is proposed, which provides processing of data coming through several channels of information support of the cyberphysical system. The structure contains an ensembl
Publikováno v:
Bulletin of the Saint Petersburg State Institute of Technology (Technical University). 52:104-110
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030871772
The conducted research belongs to the scientific field of data mining in relation to the problems of classifying the state of objects and systems. A method for diagnosing the state of a complex chemical-energy-technological system for the production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b93439e3ae40c88b10602de6de6d81
https://doi.org/10.1007/978-3-030-87178-9_9
https://doi.org/10.1007/978-3-030-87178-9_9
Publikováno v:
2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE).
The paper presents a software product that enables contactless identity verification at various sites using Leap Motion controller and neural network module, which will improve security at critical sites. The authors present the results of a study of
Publikováno v:
Theory and Engineering of Dependable Computer Systems and Networks ISBN: 9783030767723
A method for monitoring the granulometric composition of raw pellets obtained in the process of phosphorus production from apatite-nepheline ores wastes is proposed. The method is based on the use of convolutional neural networks to evaluate the curr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e4622d8038d534cbc1ee1386d8a71f
https://doi.org/10.1007/978-3-030-76773-0_34
https://doi.org/10.1007/978-3-030-76773-0_34
Publikováno v:
2020 V International Conference on Information Technologies in Engineering Education ( Inforino ).
The paper presents a method for determining the architecture of input layers of a deep neural network based on a preliminary analysis for color channels histograms of processed images. The authors give the results of a study for the application of th
Publikováno v:
MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2020): Proceeding of the 14th International Conference on Mechanics, Resource and Diagnostics of Materials and Structures.