Titlebook: Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications; Volume 1 Yousef Farhaoui Conference pr

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Ferdinando A. Insanguine Mingarroancement of anomaly detection methodologies in complex, high-dimensional datasets and provides a foundation for developing robust systems capable of identifying irregularities in diverse Big Data applications.

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Erick Valdés,Juan Alberto Lecaros integrating ML methodologies for CAD classification, there lies the potential to alleviate diagnostic uncertainties and improve clinical decision-making processes..This research endeavors to construct a machine learning-driven system tailored specifically for CAD detection. Through meticulous analy

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,Digitalization’s Influence on Audit: Examining the Implications of Big Data and Blockchain Technolo role within the audit domain. The study identifies four key themes aligned with participant feedback, elucidating the influence of big data and blockchain on auditing: 1) the commitment to training personnel in new audit software and methodologies, 2) the necessity for IT support to bridge technolo

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Enhancing Query Processing in Big Data: Scalability and Performance Optimization,ot restricted to, modern ordering components, equal handling ideal models, and prudent reserving philosophies. Through thorough exploratory assessment led on a different scope of datasets, we outline the unmistakable advantages of our proposed strategies, exhibiting eminent upgrades in both versatil

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Customer Behavior Tracing and Prediction Using Genetic Algorithm: Review of Literature,in economical phenomena movement, was a ground to start building random process models, it was reflected on the prediction ways to became a statistical structure model. In recent, after developing of company’s activities and increase of its complexity, new techniques were developed using neural netw