Cross-border e-commerce is developing rapidly. The full management model lowers the threshold but has high costs and strong platform dependence;the semi management model is flexible and efficient, attracting more sell...
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Natural Language Processing (NLP) is revolutionizing the legal domain, enabling tasks such as predicting legal outcomes, summarizing complex documents, identifying key entities, and assessing bail risks. This survey p...
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The integration of artificial intelligence in project management with revolutionize engineering processes like automobile. The present study explores the impact of artificial intelligence in decision support system to...
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The cloud machine utilization prediction using a multivariate time series model is explored in this study. The cloud machine usage data set samples are selected with varied patterns. The long sequence forecasting mode...
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This paper presents a practical approach for processing AIS signals after RF direct acquisition in the ship automatic identification system. The method involves shifting the signals of the two AIS frequencies to baseb...
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With people’s increasing pursuit of high-quality life and the need for more meticulous care for infants and young children, traditional strollers have been unable to meet people’s daily needs. Therefore, this paper ...
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Unintentional electromagnetic leakage is generated during the use of various components of computer equipment. These leaked electromagnetic signals contain a significant amount of useful information, which can be capt...
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High-speed and ultra-low latency communication enabled by 5G technology will change vehicular network programs which demand robust group authentication to protect V2X (vehicle-to-everything) communications against cyb...
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Data Mining is a process of extracting valuable information and knowledge that people have not observed from a large number of complicated data. Massive data mining based on cloud computing can optimize the dynamic re...
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To address the issues of low detection accuracy and slow speed in detecting abnormal driving behavior during daily driving, a YOLOv8-ADBD abnormal driving behavior detection algorithm is proposed, which is based on YO...
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