With the continuous increase in the number of internet users, the explosion of multimodal data on the web has led to a growing demand for image retrieval. Current text-to-image retrieval systems often rely on keyword ...
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Extracting parallel corpus from the web at scale is important for machine translation and other multilingual processing tasks. The paper proposes an incremental and flexible web parallel corpus extraction approach, wh...
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The course Introduction to Computer Networks (ICN) has become one of the most vital courses in Computer Science and softwareengineering degrees and clearly is an imperative course for a degree in computer networking....
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The industrial material inspection and defect analysis system is designed for material quality control and fault detection in industrial production. Physical properties of the system through the acquisition of steel a...
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In Namibia, foot and mouth disease (FMD) is a highly contagious disease that seriously threatens the well-being of cattle and the country's beef production. For control and prevention methods to be effective, earl...
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Autonomous driving technology is progressing rapidly, largely due to complex End-To-End systems based on deep neural networks. While these systems are effective, their complexity can make it difficult to understand th...
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The application of caching method plays an important role in intelligent video resources, but there are problems of inefficient and inaccurate caching process. The traditional normal caching method cannot solve the pr...
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With the rapid development of computer graphics technology, procedural modeling is a method to efficiently generate virtual 3D models, and complex geometric models are generated through certain algorithm rules. Tradit...
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In order to create a more realistic cloud simulation environment, volumetric cloud modeling combined with real meteorological data is usually considered. At present, cloud simulation based on real meteorological data ...
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CodeSearchNet is a widely used dataset of comment-code pairs for training code search models. However, code search models trained on the datasets of comment-code pairs usually have lower performance in real-world appl...
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