The smoothness of high-speed railway tracks is an important indicator for judging the quality of railway tracks. Accurately predicting the uneven trend of the track and dealing with it in advance is of great significa...
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This research paper explores the application of deep learning techniques for the detection of AI-generated images within the context of news and journalism. In response to the escalating risk posed by the pervasive us...
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With the increasing popularity of digital video applications, video restoration techniques have become increasingly important. This paper presents a flow-based video restoration method that aims to achieve high-qualit...
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To improve object detection accuracy and resolve large variations in object size in remote sensing images, this paper proposes the InternAware model based on InternImage-T. The GFA (Global Feature Aware) module is use...
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Vision based Fall detection systems are much better in terms of convenience and accuracy over other Fall detection methodologies which rely on additional sensory data. The computational cost associated with large numb...
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The rapid proliferation of the Internet of Things is changing industries by making connectivity seamless in nearly every object and letting them exchange data. The major problem inherent to the complexity and decentra...
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In the industrial production of high-energy-density lithium batteries, accurately detecting electrode endpoint positions is crucial for maintaining appropriate electrode spacing, as improper spacing can lead to short ...
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Falling at home is the most common cause of injury among the elderly. Wearable devices are inconvenient and costly, while camera systems pose risks to privacy. A fall detection method employing millimeter-wave radar c...
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With the increasing diversity and complexity of malicious code, the threats posed by malicious code are continuously growing, making malicious code detection increasingly challenging. Currently, researchers typically ...
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Circular dichroism has extensive applications in fields such as ultra-sensitive biosensing and wavefront manipulation within chiral structures. However, traditional terahertz chiral structures face challenges in effec...
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