In the process of deepening the data processing of State Grid Power, a machinelearning algorithm is proposed to solve the problem that the data efficiency of State Grid Power cannot be effectively improved. Using mec...
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This study designs and implements a bridge health monitoring system based on machinelearning. The system adopts a four-layer architecture, including data acquisition, processing, analysis and decision-making, and use...
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This paper explores the application of deep learning-based malware detection models in video conferencing systems. By constructing a large-scale dataset of malware and training deep neural network models such as CNN, ...
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This study explores the impact of industry-education integration on college students’ employment rate using machinelearning models. The original data was preprocessed through feature engineering, and models such as ...
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Traditional economic growth forecasting methods, though somewhat successful, have limitations such as assuming a linear data generation process and ignoring the nonlinear relationships between economic variables. This...
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data analysis and mining play an important role in the research of intelligent information management system, but there is a problem of inaccurate information management. Traditional machinelearning cannot solve the ...
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The healthcare industry produces a huge amount of complex data about patient records. This data can be processed and mined to uncover hidden patterns, which will provide professionals in the healthcare field with addi...
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The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based ...
ISBN:
(纸本)9798400718120
The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based on Gaussian dynamics and machinelearning;sentiment and user churn analysis for online platform business using yelp studies;research on commercial vehicle replacement prediction model based on improved attention mechanism;cross-sectional industrialization factors’ contribution to heat wave risk classification;cross-domain person search data augmentation based on style transfer;recurrent convolutional fact graph neural networks for temporal knowledge graph reasoning;and research on network quality evaluation system based on the entropy weight method.
This paper mainly introduces some machinelearning methods used in the field of datamining. The method of datamining is discussed by taking market segmentation algorithm as an example. This paper presents an improve...
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Financial frauds are on the rise globally, causing significant financial losses. This issue has far-reaching consequences, impacting the investment industry, government, and corporate sectors alike. Manual verificatio...
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