Many universities today offer special courses or entire master programs for cyber-physical systems (CPS) developers training. A multi-aspect design route of the CPS creation is considered as the methodological vector,...
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Currently, there is an unsolved problem of IoT device authentication in networks to ensure their security. Due to low performance, work with traditional methods of protection is complicated and therefore a different a...
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The use of deep neural networks in information retrieval significantly improves its effectiveness, but negatively affects the performance of the process. To deal with this, we propose a new ranking model that uses the...
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The article considers the problem of designing a synthesis method for Coarse-Grained Reconfigurable Array (CGRA) architectures. The author observes several general problems of such architecture and demonstrates how th...
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Watermarking had been proven to be able to protect medical images from unauthorized tampering and modification. Numerous watermarking schemes are available for different purposes depending on the security needs. Water...
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The birth of remarkable advance in the development of computer and hardware in computer world has enables us to access information anytime and anywhere regardless of the geography factor. Therefore, replication in dis...
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Medical notes contain valuable information about patient conditions, treatments, and progress. Extracting symptoms from these unstructured notes is crucial for clinical research, population health analysis, and decisi...
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The aim of the research is a 3D point matching which uses models from different sources to union them in the general coordinate system to create a high-accuracy scene from the 3D scanner. There are several images from...
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In this paper, the method to design deep Convolutional Neural Network (CNN) architecture for the problem of traffic signs classification is proposed. The approach incorporates five main stages followed by each other: ...
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The fuzzy min-max (FMM) neural network is one of the most powerful neural networks that combines neural network and fuzzy set theory into a common framework for tackling pattern classification problems. FMM neural net...
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