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Dmitry Prishletsov,Sergey Prishletsov,Dmitry Namiot
Pág. 41 - 49
The article is devoted to adversarial attacks on machine learning models. Such attacks are understood as the deliberate manipulation of data at different stages of the machine learning pipeline, designed to either prevent the correct operation of the mod...
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Dmitry Yakupov,Dmitry Namiot
Pág. 128 - 155
Recommender systems were one of the first mass applications of data analysis in various fields. The reason is their final result (recommendations) that is transparent to end users and clear metrics for measuring the quality of their work. End-users can a...
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Dmitry Yakupov,Dmitry Namiot
Pág. 128 - 155
Recommender systems were one of the first mass applications of data analysis in various fields. The reason is their final result (recommendations) that is transparent to end users and clear metrics for measuring the quality of their work. End-users can a...
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Vasily Kupriyanovsky,Dmitry Namiot,Dmitry Ponkin
Pág. 51 - 59
The article discusses the sustainability of the joint economy (the sharing economy) in the context of the COVID-19 pandemic. The sharing economy has changed our lives in many ways. The growth of the joint economy in Russia has (had) absolutely incredible...
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Oleg Pokusaev,Vasily Kupriyanovsky,Dmitry Katzin,Dmitry Namiot
Pág. 81 - 93
The article discusses issues related to the architecture of autonomous (unmanned) car software. The work uses the English abbreviation CAV (Connected Autonomous Vehicle). Automobile vehicles today have much more complex computer systems than airplanes, d...
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Vasily Kupriyanovsky,Alexander Klimov,Oleg Pokusaev,Dmitry Namiot,Dmitry Katzin
Pág. 89 - 104
This article focuses on the physical Internet. In the field of transport, ?Physical Internet? means a combination of digital transport networks that are being deployed to replace analog road networks. Architecturally (digital) the Internet does not trans...
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Nad?zhda Kurganova,?ichael Filin,Dmitry Cherniaev,Artem Shaklein,Dmitry Namiot
Pág. 105 - 115
This article observes one of the vital directions of industrial digitalization. It is a smart decision for virtual setting of static and dynamic data of a technological system, generally called a ?digital twin?. The technology not only allows an operator...
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Dmitry Cherniaev,Dmitry Namiot
Pág. 79 - 85
The article considers the role of digital technologies in the exploration, production, and transportation of oil and gas products. The authors will consider the main problems in the oil and gas industry, and will offer solutions on the example of the wor...
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Alexander Misharin,Oleg Pokusaev,Dmitry Namiot,Dmitry Katzin
Pág. 15 - 20
The article deals with issues related to the modeling (forecasting) of passenger traffic for high-speed railways. The article is a survey of research related to forecasting the number of passengers for new high-speed railways. We consider work in which t...
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Igor Sokolov,Vasily Kupriyanovsky,Vyacheslav Alenkov,Oleg Pokusaev,Dmitry Yartsev,Andrey Akimov,Dmitry Namiot,Yulia Kupriyanovsky
Pág. 104 - 118
The article deals with issues related to digital security in the Smart City. The standards and implementations of Smart City models are geared towards the application of rapidly developing digital technologies and are aimed at economic, social, environme...
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Dmitry Namiot,Eugene Ilyushin
Pág. 43 - 60
Artificial intelligence systems in this work refer to machine learning systems. It is machine learning (deep learning) systems that are, today, the main examples of the use of Artificial Intelligence in a wide variety of areas. From a practical point of ...
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Dmitry Namiot,Eugene Ilyushin
Pág. 60 - 69
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Manfred Sneps-Sneppe,Dmitry Namiot
Pág. 66 - 71
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Daulet Ospanov,Dmitry Namiot,Oleg Pokusaev
Pág. 118 - 128
The article is devoted to one approach to the analysis of traffic flows. The initial data for analysis are the so-called correspondence matrices, which describe the number of trips per unit of time between two points. The specific dataset that was analyz...
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Dmitry Namiot
Pág. 58 - 68
This article discusses one of the possible classes of attacks on machine learning systems - poisoning attacks. Classically, poisoning attacks are special modifications of the training data, which are designed to influence the model obtained after trainin...
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Dmitry Namiot,Vladimir Sukhomlin
Pág. 85 - 97
This article discusses the issues of cybersecurity of the Internet of Things (IoT) systems. Such systems are always an integration of many different technologies. This, naturally, increases the opportunities for attackers to influence both software and h...
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Dmitry Namiot,Vladimir Sukhomlin,Oleg Pokusaev
Pág. 64 - 72
This article discusses the use of electronic tags in cyber-physical systems. In our work, electronic tags are understood as autonomous devices with their own power supply system, which are configured to transmit any information. Device configuration can ...
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Artem Makarov,Dmitry Namiot
Pág. 70 - 78
In the last few years, machine learning models and neural networks have been actively introduced into everyday life. The main parameters in their training are accuracy and efficiency. One of the main steps that allows you to improve these indicators is t...
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Dmitry Namiot,Elena Zubareva
Pág. 130 - 139
The proliferation of machine learning applications based on large language models (ChatGPT, etc.) has brought attention to a well-known problem in machine learning systems: adversarial attacks. Such attacks are special modifications of data at different ...
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Temirlan Bidzhiev,Dmitry Namiot
Pág. 21 - 31
In recent years, neural networks have shown their potential as a new paradigm for solving problems in the field of information technology. They have shown their effectiveness in many areas, but training neural networks is expensive in terms of computing ...
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