This article examines the application of intelligent analysis systems in the promotion of evaluation indicators for the development of the cultural industry in new rural areas. As China places emphasis on rural revita...
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In order to solve the problem of low accuracy of muscle fatigue classification using surface electromyography (sEMG), a fatigue classification model based on principal component analysis of surface electromyography an...
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Circuits comprising of memristor paired with Field effective transistor (FET) were determined to be exceedingly significant as the output current modulated by the FET heightened memristive executions. In this paper, t...
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Diabetic retinopathy is the leading cause of vision problems and partial blindness, and its signs are complicated and variable, making detection difficult. Standard diagnosis is mainly reliant on expert interpretation...
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This paper explores the application of vision-based hand gesture recognition in addressing communication challenges faced by deaf and dumb individuals within the realm of human-computer interaction (HCI). Highlighting...
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The RISC-V multi-core heterogeneous SOC has five harts that divided into three clusters, and integrates an eFPGA. Inter-cluster is asymmetric-multiprocessor and intra-cluster is symmetric-multiprocessor. The SoC not o...
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The growing demand for energy efficiency in educational institutions has led to the exploration of smart technologies for managing power consumption. This project introduces a "Power Automation for Classrooms&quo...
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Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection...
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Transformer inrush current, a transient phenomenon characterized by high peaks and harmonic content that happens during energization, can have a big effect on how the power system works. It can result in core saturati...
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This paper provides a comprehensive survey of Contextual AI applications for analyzing political discourse on Twitter, focusing on the latest advancements in Natural Language Processing (NLP) and machine learning mode...
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