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Titlebook: Advances on Intelligent Computing and Data Science; Big Data Analytics, Faisal Saeed,Fathey Mohammed,Mohammed Al-Sarem Conference proceedi

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Rafał Siedlecki,Daniel Papla,Agnieszka Bem other health problems such as diabetes. In this article an investigation on the diagnosis, using deep learning, of ocular diseases caused by diabetes was conducted paying particular attention to cataract, glaucoma and diabetic retinopathy. The proposed approach to identify and classify these three
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Katarzyna Kuziak,Krzysztof Piontek, but it is more important in cryptocurrencies. Researchers have studied machine learning algorithms with cryptocurrencies, a concept that has been recently presented and has a great future as a financial instrument for investors. However, previous studies have ignored key variables like emotions an
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Krzysztof Piasecki,Joanna Siwekanking industry, machine learning could be used for a variety of uses involving data analysis. A method of data analysis that is capable of self-regulation has been made possible by the development of modern techniques, such as classification approaches. The classification method is a form of superv
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Giovanni Ferri,Angelo Leogrande sector can use tourism demand forecasting to gather important information for planning and making important decisions. However, it is difficult to produce an accurate forecast because tourism data is critical, especially when a periodic pattern, such as seasonality, trends, and non-linearity, is pr
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Contemporary Trends in Local Governanceprocess that requires accuracy and proficiency. The goal of this research is to figure out which patients are more prone to develop heart disease depending on a variety of medical characteristics. Using the medical attributes of the person, we created a prediction model for heart disease to determin
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Global Trends in Local Governance,s application domains. Top-k processing connects to many areas of database research, including query optimization, indexing methods, and query languages. Therefore, various emerging applications warrant efficient support for top-k queries. In this work, we faced these challenges by applying the Arti
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