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Titlebook: Learning and Intelligent Optimization; 16th International C Dimitris E. Simos,Varvara A. Rasskazova,Panos M. P Conference proceedings 2022

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Ermanno Righini,Giovanni Righiniunique experience in visualizing the solutions and provides an exciting way of interacting with the real world. The network management system is a complicated process that can be addressed efficiently by AR technologies. The visualization of network topology information of network devices decreases
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Damir N. Gainanov,Dmitriy A. Berenov,Egor A. Nikolaev,Varvara A. Rasskazovas in personalized medicine approaches. Recent years, machine learning has been widely deploying in a vast amount of metagenomic research. Usually, gene family data are characterized by very high dimension which can be up to millions of features. However, the number of obtained samples is rather smal
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Adriano S. Silva,Thadeu Brito,Jose L. Diaz de Tuesta,José Lima,Ana I. Pereira,Adrián M. T. Silva,Hel require consumer personal data to be integrated into the service applications. Consequently, personal information is progressively made available over the internet which promotes the risk of the data being misused. Therefore, data privacy and security have taken prominence worldwide which resulted
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Efthyvoulos Drousiotis,Paul G. Spirakist current research, industrial, and commercial activities.Of.This book comprises the proceedings of ICITCS 2021. It aims to provide a snapshot of the latest issues encountered in IT convergence and security. The book explores how IT convergence and security are core to most current research, industr
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Mohadese Basirati,Romain Billot,Patrick Meyer require consumer personal data to be integrated into the service applications. Consequently, personal information is progressively made available over the internet which promotes the risk of the data being misused. Therefore, data privacy and security have taken prominence worldwide which resulted
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Optimal Scheduling of?the?Leaves of?a?Tree and?the?SVO Frequencies of?Languages and its generalization in which the optimum order is sought. We assume that the scheduling process starts at the root of the tree and continues breadth-first in parallel, albeit with possible intervening lock and unlock steps, which define the scheduling cost. The motivation for this problem comes
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