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Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con

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Research on Task Scheduling Algorithms for Cloud-Edge Collaboration be processed from the edge, edge nodes may struggle to handle such a vast amount of data. Therefore, the technology of cloud-edge collaboration has emerged, and how to achieve cloud-edge collaborative task scheduling has become a current research hotspot. This article provides a detailed exposition
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Prediction of the Short-Term PM2.5 Concentration Based on Informera novel hybrid deep learning model called WPI for short-term PM2.5 prediction. The model utilizes wiener filtering and principal component analysis to denoise and extract features from meteorological data consisting of 10 variables. By combining these techniques with the Informer model, the WPI mode
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Prediction of the Short-Term PM2.5 Concentration Based on Informermean square error (RMSE), mean absolute error (MAE), and coefficient of determination (.). In short-term prediction, the WPI model achieves the . value at least 0.0418 higher than the comparison model, with RMSE at least 0.4647 lower and MAE at least 0.5507 lower.
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Conference proceedings 2024ess in Heterogeneous Networks, QShine 2023, held in October 2023...The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections: ..Part I:  E-Health networks;  transportation networks; reliability and scalabi
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