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jcolang-111
ЯВЛЕНИЯ ПОЛИСЕМИИ И ОМОНИМИИ В СПЕЦИАЛИЗИРОВАННОЙ ТЕРМИНОСИСТЕМЕ (на материале геодезической терминологии) Homonymy and Polysemy in Technical Terminology: Terms of Geodesy as an Example
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Aннотация

В статье представлены явления полисемии и омонимии в специализированной терминосистеме, а именно в геодезической терминологии; определены предпосылки и причины возникновения полисемии и омонимии в профессиональном языке в области геодезии и кадастра; установлены различия и взаимосвязь между понятиями омонимия и полисемия; выделены главных типы полисемантических терминов и омонимических лексических единиц в области геодезии и кадастра.

Abstract

      This paper tackles both homonymy and polysemy in specialized technical terminology of geodesy. An identification was made of the bases of the existence of both phenomena in  so far as being exploited in Geodesy and land survey, along with stating the reasons behind such existence. This was carried out in addition to making a reference to the differences between the two phenomena, with their mutual associations. As such, the multi-faced terminologies have been distributed into types along with the homogenous lexical units in geodesy and land survey.

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Publication Date
Fri Aug 12 2022
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Future Internet
Improved DDoS Detection Utilizing Deep Neural Networks and Feedforward Neural Networks as Autoencoder
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Software-defined networking (SDN) is an innovative network paradigm, offering substantial control of network operation through a network’s architecture. SDN is an ideal platform for implementing projects involving distributed applications, security solutions, and decentralized network administration in a multitenant data center environment due to its programmability. As its usage rapidly expands, network security threats are becoming more frequent, leading SDN security to be of significant concern. Machine-learning (ML) techniques for intrusion detection of DDoS attacks in SDN networks utilize standard datasets and fail to cover all classification aspects, resulting in under-coverage of attack diversity. This paper proposes a hybr

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Publication Date
Tue Mar 22 2022
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Wed Mar 29 2017
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