More researchers are starting to focus on the intersection of artificial intelligence and education as a result of the technology's ongoing advancements. The paper conducts a thorough analysis of the research hots...
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Assessing the input-output efficiency of science and technology innovation is of significant for the formulation of China's policies. By combining an analysis of indicators of China's science and technology in...
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Unbalanced data distribution is a common problem in the development process of credit scoring cards. This paper proposes a new method of mixed sampling, SyMProD-ENN, to improve the problem of developing effective cred...
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This study examines the enhancement of library archive systems through genetic algorithms, focusing on improving information retrieval accuracy and efficiency in the era of big *** results show significant performance...
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This paper first conducted preliminary research through questionnaire survey, literature research, field research and other methods, and then established the campus landscape evaluation index system by *** on Likert s...
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This study addresses the challenge of extreme weather on property insurance, proposing a model that balances insurer profitability and affordability for owners. By integrating strategic underwriting, normalized data, ...
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In the field of saliency detection for panoramic images, traditional equirectangular and cube projection methods in panoramic image saliency detection often face issues like distortion and discontinuities, impacting d...
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The electrical fire monitoring mode is mostly set to one-way mode, which can achieve the expected monitoring task, but lacks stability and reliability, and it is difficult to achieve coordination and positioning monit...
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In the rapidly developing digital age, media technology laboratories actively embrace the development of digitization and take effective measures to promote the reform of digital education in media technology. Media t...
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This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition s...
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