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Abrar A. Almuhanna, Wael M. S. Yafooz and Abdullah Alsaeedi
In this era of digital transformation, when the amount of scholarly literature is rapidly growing, hundreds of papers are published online daily with regard to different fields, especially in relation to academic subjects. Therefore, it difficult to find...
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Andrea Rondinelli, Lorenzo Bongiovanni and Valerio Basile
Topic classification is the task of mapping text onto a set of meaningful labels known beforehand. This scenario is very common both in academia and industry whenever there is the need of categorizing a big corpus of documents according to set custom lab...
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Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Maria Teresa Pereira, Luiz Paulo Lopes Fávero, Marcos dos Santos and Carlos Francisco Simões Gomes
Personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs, and benefits in decision-making. In this context, perso...
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Serafino Cicerone and Gabriele Di Stefano
The mixture of data in real life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their r...
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Vasily Kupriyanovsky,Dmitry Namiot,Alexander Klimov,Andrey Dobrynin,?lexey Korzun,Mikhail Zhabitskii,Nikolai Vykhodov,Al?xander Lysogorsky
Pág. 91 - 130
The topic of digital twins is attracting a lot of attention from industry and transport as well as from academia today. The digital twin, being a virtual representation of a physical asset, allows describing the behavior of an asset during its life cycle...
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