When identifying metals with the same appearance and material non - destructively, the existing ultrasonic metal identification methods often overlook unknown - class identification, have poorly constructed data sets ...
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The advancement of Digital Twin (DT) technology has enabled the creation of digital replicas of physical entitics, significantly enhancing the functionality and performance of mobile networks. However, this innovative...
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Object recognition in UAV images is very challenging due to the frequent appearance of numerous small and truncated entities. Object detection is an essential component of computer vision for accurate object localizat...
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One of the main areas researchers are looking into nowadays is how to change words from one language to another, known as transliteration. This is especially useful for cross-lingual applications where people need to ...
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Accurately reconstructing object edges is a key challenge in single image super-resolution (SISR), as it greatly influences our visual perception of image quality. To address this fundamental issue, we propose a novel...
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In today’s world we have been facing problems due to increasing traffic on roads. This causes a lot of waste of time and increases stress level. So, this leads for creating a system which can intelligently handle tra...
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There is a growing interest in sustainable ecosystem development, which includes methods such as scientific modeling, environmental assessment, and development forecasting and planning. However, due to insufficient su...
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Material appearance editing methods based on generative adversarial network (or GAN) use perceptual parameters to control material appearance but are limited by the rating quality of training data. The data annotators...
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With the popularization of computertechnology in today's society, the science and technology in the field of digital media are constantly developing, which has actually changed people's original way of life a...
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In the problem of sentiment analysis in Weibo comments, contextual information has a significant impact on sentiment analysis. If contextual information cannot be considered, the accuracy of sentiment analysis will be...
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