In recent years, deep learning and machine learning methods have been extensively employed in almost every field due to their capability of data processing and analysis. these are the subdomains of Artificial intellig...
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Subspace clustering is one of the important methods to solve the problem of high-dimensional data clustering, and the performance of traditional methods based on spectral clustering largely depends on the affinity mat...
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Aiming at the complex coal mine environment resulting in impaired image quality and the difficulty of a fixed number of convolutional kernels to capture diverse motion features, coupled with fast-moving personnel dete...
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the expansion of the 4th Industrial Revolution is making it easier to collect and analyze big data through cloud technology. In addition, advances in semiconductor design and manufacturing technology are accelerating ...
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Light field camera can sample multiple views of the same scene with a single exposure, which has unique advantages in dynamic scene analysis. Existing scene flow estimation algorithms ignore the processing of image no...
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the propagation of digital content and its ease of distribution over the internet have raised concerns regarding the protection of intellectual property and its prevention from unauthorized usage. One such effective m...
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YOLOv7-tiny, as a lightweight variant of YOLOv7, boasts advantages of fast runtime and fewer parameters. However, when directly applied to infrared object detection, YOLOv7-tiny still faces challenges such as weak ext...
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Autonomous vehicles represent a transformative technology withthe best implications for transportation systems. the key component of their success is their capability to detect and respond to their surroundings. For ...
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To solve the problem of information redundancy or loss caused by ECG abnormality detection in fixed-length samples, our team proposed a feature extraction and classification method based on 3R samples and TSL. Althoug...
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Brain tissue segmentation is of paramount importance in the field of medical image processing, as its accuracy directly impacts subsequent diagnosis and treatment processes. However, the intricate structure of brain t...
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