With completing the basic exploration of shallow mineral resources in China, exploring deep mineral resources has become an important solution to the resource shortage. The traditional transient electromagnetic method...
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This paper addresses the problem of non-ETC (Electronic Toll Collection) vehicles lacking real-time notification channels by proposing a method based on mobile signaling. This approach leverages time and spatial data ...
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Music can relieve people's stress and is an indispensable element in modern life. There are already many music systems that can meet people's needs for listening to songs. Still, people have to download and up...
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Question Answering (QA) is a technology that can help find answers to questions based on predefined information sources or context. However, QA sometimes still provides answers even though the question is irrelevant t...
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3D reconstruction and motion tracking is a very important research direction in the field of computer vision. Compared to 2D image information, 3D models have a stronger sense of realism and can present more informati...
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Water is the topmost priority for all human and industry needs in the universe. This proposed work creates awareness about the conservation of water bodies. Here, a garbage collector is designed to clean the lake and ...
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The rapid growth of the IoT and wearable device industries has expanded remote patient monitoring, but healthcare systems face security vulnerabilities inherent in their client/server architecture. To address these ch...
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Surveillance image enhancement methods frequently suffer from a number of drawbacks, including variable lighting conditions, noise, and low resolution making them more complex. Because of variable lighting conditions,...
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In the context of increasing fire accidents and the significant risks faced by first responders, there is a pressing need for innovative solutions to mitigate these dangers. This paper presents the development of a fi...
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This research paper focuses on the application of Convolutional Neural Networks (CNNs) for the multi-class classification of kidney conditions, including Cyst, Normal, Stone, and Tumor. Chronic kidney diseases pose a ...
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