This comprehensive paper delves into the intricate relationship between Music and Artificial Intelligence (AI). It presents an extensive overview of the current developments in this emerging field and explores the pot...
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In recent years, natural language processing has experienced rapid development, especially in utilizing natural language statements to quickly query target data in databases. Transforming user’s natural language into...
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Due to the limited load capacity of small unmanned aerial vehicles (UAVs), micro pressure sensors are generally selected to measure altitude and airspeed. However, micro pressure sensors have relatively large absolute...
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The use of digital technologies has led to the development of cyberbullying, and the use of social media has become an important source of it. Cyberbullying can take many forms., like explicit remarks, threats, hate m...
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Today, the detection of defects by non-destructive testing (NDT) is more often applied in shipyards, marine construction, refineries, storage petroleum systems, etc. But at this stage, inspection quality is mainly exe...
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This research delves into the contemporary landscape of emotion recognition models trained on the FER 2013 *** project introduces a real-time emotion detection system coupled with personalized song recommendations fro...
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Imbalanced student performance data in educational institutions is crucial for any machine learning prediction model. It affects the efficiency of classifiers and challenges the sampling methods for having a more sign...
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Ahstract- This paper addresses the fault estimation (FE) problem for T-S fuzzy systems based on the switching observer scheme. Firstly, a fuzzy FE observer with switching rules is designed, where the product of time d...
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This research focuses on enhancing robotic technology, particularly for achieving high-precision positioning in manual wiring production lines for electronic connectors. This system addresses the needs of customized, ...
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