Traditional attendance management systems in educational institutions use manual methods that are time-consuming and prone to errors. This work proposes an automated attendance taking system implemented through group ...
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The implementation of a machine learning model to enhance hygiene permanence in tomato leaves has shown remarkable results, emphasizing the utility of convolutional neural networks (CNNs) for early disease detection. ...
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In this article, the scheme and principle of neural network-controlled CMAC feedforward control were studied. A neural network control system was established based on the infrared temperature measurement system of the...
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The rapid growth of Internet technology is continuously increasing information volume, leading to the problem of information overload. When faced with a massive amount of information, the focus is on how to quickly an...
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The purpose of this study is to address the rising problem of picture modification and fraud, especially in the field of photojournalism, where the ability to recognize changed photos is essential to preserving faith ...
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The integration of machine learning in healthcare is rapidly growing and holds a great potential to transform the analysis and application of medical data. This study explores the latest developments in machine learni...
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Sensitive data in standard deep learning training can be subject to assaults. These attacks take advantage of the disclosure of gradients and intermediate representations during the training process, potentially resul...
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With an emphasis on the incorporation of the Wasserstein Generative Adversarial Network (WGAN) algorithm, this study examines the revolutionary potential of AI-Powered Predictive Cybersecurity in detecting new risks u...
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Visualizing anatomical structure benefits from medical imaging and analysis. However, employing basic imaging methods is challenging and ineffective. Brain abnormalities diagnosis and classification manually is especi...
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Food picture classification provides considerable advantages for the food and medical industries, making it a topic of study that is rapidly increasing. Future uses for automated food identification algorithms are ant...
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