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Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr

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,Entladungsröhren und Gleichrichter,ers to develop electricity distribution policies. However, insufficient data, which is commonly highly nonlinear, cannot provide sufficient data to identify satisfying forecasting accuracy. To solve these problems, several researchers used a grey model. Fractional cumulative generation operation (FA
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Grundzüge der Finanzwissenschaftof the most efficient tools for quickly and reliably detecting lung cancer using an autonomous approach. Segmentation is an important and challenging task when it comes to diagnosing lung cancer from the LIDC-IDRI dataset. There are several factors that contribute to this, including shape irregulari
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Die wohlfahrtsökonomische Referenzweltin predicting the future price of stocks and the market’s movement. The computing approach is a widely used technique in stock market forecasting that can assist the rapid and precise study of massive datasets. Existing studies have shown that such a technique can yield comparable or even better per
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Die wohlfahrtsökonomische Referenzweltsignificantly impacted the rise of electricity load demand. Hence, accurate load forecasting is fundamental for future planning in various sectors, enabling organizations to make informed decisions, optimize resource utilization, and adapt to changing demands in a dynamic environment. Hence, this pa
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Grundzüge der Finanzwissenschaftes and opinions in a landscape once dominated by traditional media. While platforms like Facebook and Twitter amplify information sharing and activism, decentralized information dissemination presents governance challenges. Attitudes, social norms, and behavior control mechanisms intricately interac
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https://doi.org/10.1007/3-540-30435-5om heterogenous sources, which gives the ample amount of available information to be generated dramatically. This has forced the data-driven organizations to invest more in technologies that will determine the quality of their data through an effective data governance process. However, the lingering
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