Titlebook: Modeling and Processing for Next-Generation Big-Data Technologies; With Applications an Fatos Xhafa,Leonard Barolli,Petraq Papajorgji Book

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Forecasting , Concentrations in Ambient Air Using a Transformer Based Neural Networkations. As first step, a pre-processing is applied to dataset collected between 2019 and 2021, which was provided by Metropolitan Network of Atmospheric Monitoring of Quito. For this, a variance inflation factor is used to detect multicollinearity among the independent variables to reduce the input

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An Efficient Service Recommendation with Spatial–Temporal Aware QoS Prediction Mechanism in Cloud Computing Environmentsult in end-users receiving inadequate services. As a result, the cloud-based recommendation system’s performance suffers. In this paper, an efficient service recommendation with a spatial–temporal aware QoS prediction mechanism in a cloud computing environment is proposed. The main contribution of

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https://doi.org/10.1007/978-3-642-70381-2er work to automate the process. The result is a proof-of-concept application called Google Desktop Search Evidence Collector (GDSEC), which interfaces with Google Desktop Search to convert data from Google’s proprietary format to one that is amenable to offline analysis.

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Dual Energy CT Postprocessing and Images Analysis Strategies in Oncologic Imaging, low-energy and high-energy images, a better balance between lesion contrast and image noise could also be achieved. In this chapter, the most commonly used postprocessing software for DECT were summarized, with special focus on imaging analysis strategies, and their value in clinical oncology were also reviewed.

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Fault Diagnosis of Subway Auxiliary Inverter Based on PCA and WNNgnosis. Experiment results have tested and verified the feasibility and effectiveness of the method. The proposed diagnostic method has higher precision and stronger convergence than the network directly using initial feature vectors.

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