In the current era of information explosion, data intelligence mining technology has become the main way to obtain the most useful information from complex problems and the main means to solve complex problems. Howeve...
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Multi-task scheduling of heterogeneous big data network information is proposed to improve the optimal configuration and application ability of network big data resources. A multi-task scheduling method of heterogeneo...
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Websites handle the data of the webpages by storing them into a database and reading from it whenever needed. The data may include the content of the webpages or the users who use the website. Security of this data is...
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Convolutional neural network algorithm is a kind of deep neural network algorithm, which has good performance of image feature extraction. It can reduce the large data amount of images to a small data amount without a...
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The traffic volume on highways is huge. How to use digital technology to solve traffic congestion and reduce the probability of accidents has become a very thorny issue. This article discusses the construction of a di...
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Defect detection and repair are critical to the performance and dependability of modern software development. To evaluate large software repositories and find errors early in the development process, this study propos...
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This paper aims to minimize the peak sidelobe level (PSLL) via an irregular phased array. An optimization problem based on the minimization of total radiation power (MTRP) problem is constructed. The originally formul...
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In the age of information explosion, data has become one of the most valuable assets of a business. As an advanced data processing technology, big data algorithm plays an increasingly prominent role in enterprise know...
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In the digital age, data has become the new oil for business decision-making. For the logistics industry, the use of big datatechnology is not only a trend, but also a revolutionary leap. In this article, we will exp...
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This analysis addresses the critical knowledge gap in analyzing, preprocessing, and applying machine learning algorithms to Operational technologydata by comparing it to the ease of applying the same process to Infor...
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