The presented article shows economic aspects of the power delivery systems due to loss of functional continuity. Complex power systems need to maintain their fault-tolerant operational stage. On this purpose intellige...
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This article presents a focused review of past performance, recent advancements and emerging trends in liquid crystal-based reconfigurable millimeter-wave components and systems, with applications extending to the Int...
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Thickness measurement of transparent films is an important application of chromatic confocal sensors. A fast separation algorithm for overlapping-peak signals was proposed and compared with the traditional method in t...
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This study aims to address the issues of low efficiency and high manual involvement in existing government affairs processes by proposing an automated system based on large model *** system integrates modules such as ...
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In recent years, vision technology has been increasingly utilized in environmental monitoring, particularly in air quality prediction and smoke detection. Despite advancements, there remains a need for efficient model...
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The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault dia...
ISBN:
(纸本)9798331529246
The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault diagnosis of aviation mechanical systems;design and implementation of network intrusion detection system based on machine learning;evaluation of teaching quality in higher mathematics courses based on artificial neural networks;research on mechanical automation control based on bidirectional long short-term memory;intelligent mapping technology for single line diagram and layered diagram of intelligent distribution network;a comprehensive analysis of knowledge graph-based social recommendation system;and networks assessment of regional economic development level prediction with deep graph convolutional network.
This study aims to address the issues of low efficiency and high manual involvement in existing government affairs processes by proposing an automated system based on large model technology. The system integrates modu...
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To address the difficulties in detecting anomalous data in underwater sensor networks and the issue of concept drift in streaming data, a method by constructing an LSTM-CNN Fusion network is proposed. The Long Short-T...
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Aiming at the fixed-time dichotomous consistency control problem of a first-order nonlinear multi-intelligence body system with external interference, this paper designs a fixed-time dichotomous consistency control al...
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With the rapid development of artificial intelligence technology, intelligent search assistant has become a key tool to improve the efficiency of information retrieval. This paper presents a design and implementation ...
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