It is discovered that machine learning approaches and artificial intelligence are extensively examined in a variety of research articles when it comes to the identification of psychologically linked emotional activiti...
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In response to the issues of limited annotated data and insufficient semantic information extraction in medical named entity recognition for Chinese electronic medical records, a novel approach based on data augmentat...
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This research explores the implementation of the GCN-XGBoost with attention mechanism within the detection and correction of exercises through computer vision, utilizing the 2-dimensional pose coordinates from the MMF...
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In recent years, researchers have proposed a variety of machine learning and deep learning-based techniques to process EEG signals, such as support vector machines, deep learning algorithms, and graph neural networks ...
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The Internet of Things (IoT), which integrates objects of daily life with the Internet, has altered how we interact with our surroundings. IoT is becoming more popular, but because connected devices are vulnerable to ...
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With the rapid growth of computer network devices around the world, network threats are increasing, and securing the network environment has become an urgent problem. However, the current network traffic dataset is ge...
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This study investigates the revolutionary impact that artificial intelligence (AI) has had on personalization practices technologies have become increasingly important in improving customer experiences through acclima...
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Humans rely heavily on fingerprints as a means of identification. In this work, we suggest using Arduino to create a biometric voting system. Most elections throughout the globe did not use biometric technology;instea...
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This paper proposes a multi-object tracking algorithm for distorted video images captured by a fisheye camera. The method addresses the issue of residual shortening distortion in calibrated pedestrian images. It utili...
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Diabetic foot ulcers (DFUs) present a significant health challenge, demanding innovative solutions for timely identification and evaluation. This study introduces "SoleScan,"a novel approach to revolutionize...
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