The purpose of image arbitrary style transfer is to apply a given artistic or photorealistic style to a target content image. While existing methods can effectively transfer style information, the variability in color...
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Identifying disease-associated genes (DAGs) is important for the research of complex diseases, and network-based methods have been a powerful and elegant strategy for this topic. Genes and their products perform biolo...
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This paper proposes a steel bar detection algorithm model based on the YOLOv8 object detection algorithm. It improves the network structure by using EMA (Exponential Moving Average) attention to replace the original C...
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Large quantities of data have been generated through various applications such as social media, online platforms, etc., and analyzing these data requires a significant amount of time and effort. Additionally, when enc...
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Recent advancements in skin disease identification leverage machine learning for automated diagnosis. However, safeguarding the integrity of sensitive medical data remains a top priority. This paper explores the integ...
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Aiming at the problems of low inspection efficiency, missed detections, and false detections caused by the complex background and large aspect ratio variations of overhead conductors. In this paper, an overhead traver...
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Credit card fraud detection remains a critical challenge in financial transactions, particularly due to the prevalence of unbalanced datasets and the limitations of traditional algorithms. This paper suggests a novel ...
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This paper investigates the ability of the search radar carried by the surface robot to detect and analyze the target and the change of the radar's performance in the complex environment, such as electromagnetic i...
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Remote sensing target detection is faced with the problems of random target direction, difficult detection of small targets, and dense arrangement. In order to solve the above problems, we propose a lightweight rotati...
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A Recruitment process is complex and multifaceted. It requires a strategic approach to assess and select suitable candidates for the selected post while mitigating challenges along the way. This study aimed at predict...
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