In response to the problems of insufficient understanding of language characteristics, inaccurate semantic understanding, and inaccurate automatic summarization generation of Russian texts in current automatic summari...
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With the continuous development of train operation control technology, the iteration of train operation control systems has been accelerated, leading to an increasing workload of system testing. Currently, most system...
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Warehouse management is a very important aspect of goods and materials management, and its position in modern power grid enterprise goods and materials management is becoming increasingly high. With the development of...
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computing, internet, digital devices, smart devices, and other technologies were leading to a new terminology known as cloud of things (CoT). Cloud of Things is a powerful technology used to analyze and store massive ...
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In response to the problems of false environment construction, poor teaching effectiveness, and low student learning enthusiasm in the current virtual reality environment construction and teaching simulation research ...
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MANAS (Mental Assistance Network for Alleviating Suffering) is an AI-based system designed to address the pressing challenges in mental health care, including limited access to personalized, timely support and crisis ...
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The optimal cluster head re-election method proposed in this study offers a unique way to improve distributed energy efficiency in Wireless Sensor Networks (WSNs). Smart energy management plays a crucial role in exten...
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This paper presents the development and deployment of a secure chat application in a Kubernetes environment for real-time log monitoring and communication. The research addresses the challenges of managing and aggrega...
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Vehicular Cloud computing (VCC) offers a promising platform for supporting various automotive applications and services. However, its distributed and dynamic nature makes it susceptible to Denial-of-Service (DoS) atta...
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Data quality analysis is a crucial step in ensuring the reliability and accuracy of data used in machine learning models. The proposed approach utilized with machine learning algorithms to identify outliers in the dat...
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