System generated electromagnetic pulse (SGEMP) that is generated in cavities, known as cavity IEMP (Internal Electromagnetic Pulse), would damage the sensitive electronic devices inside satellites, thus affecting thei...
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Location awareness in environments is one of the key parts for drones' applications and have been explored through various visual sensors. However, standard cameras easily suffer from motion blur under high moving...
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This research paper delves into the evaluation of human-machine interactions within the realm of Extended Reality (XR) applications, focusing on the integration of Digital Twins (DT) for control systems. The research ...
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In the study, a novel method for extracting domain-specific knowledge in digital twin water conservancy construction is proposed, addressing the challenges of interdisciplinary complexity and the limitations in existi...
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As the Internet environment becomes increasingly complex, network security gradually has more and more impact on people's real life. The research on static vulnerability detection is of great significance to the s...
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Cluster assignment is crucial for analyzing single-cell RNA sequencing (scRNA-seq) data, essential for studying cell diversity and biological functions at the single-cell level. Deep learning-based clustering methods ...
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In data communications, data retransmission mechanisms are essential to ensure reliable data transmission. In this paper, we analyze various data retransmission algorithms and recent research trends. Traditional algor...
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This paper proposes a framework to address the challenge of extracting critical information from the substantial growth of online news in the Internet age by automatically constructing event logic graph from unstructu...
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Large language models (LLMs) have achieved impressive success in generating fluent and coherent texts in natural language. However, the presence of inaccurate or low-quality data can unintentionally lead to the retent...
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Stock price forecasting is challenging because stock markets are volatile and nonlinear in nature. With the impact of the Covid-19 outbreak in 2019, stock market forecasting has become more complicated. The goal of th...
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