the limited availability of labeled data is a significant problem for improving the performance of machine learning models. To address this, semi-supervised learning methods that leverage both labeled and unlabeled da...
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the increasing demand for wireless communication services has led to a significant growth in the number of base stations, resulting in a substantial increase in energy consumption. Understanding and predicting base st...
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the widespread application of visual deep learning algorithm based on convolutional neural network promotes the rapid development of design and research of artificial intelligence visual chip, and chip design verifica...
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the active participation of contributors is key to the success of any open source software (OSS) projects. In the open source community, it can be found that some developers have participated together in multiple proj...
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this study introduces a secure and fault-tolerant block memory design tailored for Internet of things (IoT) applications. the architecture integrates advanced encryption methods, dual-port memory access, and parity-ba...
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In the context of the national big data strategy, physical fitness test data has become one of the main influencing factors in guiding and promoting the participation of the population in sports and fitness. Recommend...
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In this paper, we propose the smart UV analyzer for pesticide residues detection using thin-layer Chromatography (TLC) based on image processing. the proposed method aims to reduce the time-consuming of the convention...
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Warehouse management systems (WMS) have become increasingly important for distribution companies in recent years. WMS can help companies improve their warehouse performance by optimizing the picking and storage proces...
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the dynamic knowledge graph is a data structure that adds temporal information to the nodes and edges of a traditional knowledge graph. It describes the changing processes of entities and relationships over time, ther...
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Smart unmanned supermarkets have been emerging in the past years and significantly affected conventional shopping styles. Customer identification is an important step in picking up goods in smart unmanned supermarkets...
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