Article-Journal

IoT Based Smart Monitoring of Patients with Acute Heart Failure
The prediction of heart failure survivors is a challenging task and helps medical professionals to make the right decisions about …
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The evolution of rectangular bin packing problem—A review of research topics, applications, and cited papers
Bin packing problem (BPP) is one of the fastest-growing research issues within the field of combinatorial optimization. Over the last …
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Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata

Information related to the COVID-19 pandemic ranges from biological to bibliographic, from geographical to genetic and beyond. The …

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Cross-network representation learning for anchor users on multiplex heterogeneous social network
Online users are typically involved in multiple online social networks simultaneously to enjoy a variety of social network services, …
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Hybrid-based framework for COVID-19 prediction via federated machine learning models
The COronaVIrus Disease 2019 (COVID-19) pandemic is unfortunately highly transmissible across the people. In order to detect and track …
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Enhancing knowledge graph extraction and validation from scholarly publications using bibliographic metadata
We have noticed that many scientists process scholarly publications with advanced neural network-driven machine learning techniques to …
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Developing intuitive and explainable algorithms through inspiration from human physiology and computational biology
In this letter, we explain how intuitive and explainable methods inspired from human physiology and computational biology can serve to …
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Infectious epidemics and the research output of nations: A data-driven analysis
During the last years, several infectious diseases have caused widespread nationwide epidemics that affected information seeking …
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Enhancing filter-based parenthetic abbreviation extraction methods
This letter discusses the limitations of the use of filters to enhance the accuracy of the extraction of parenthetic abbreviations from …
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IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems
Making resources closer to the user might facilitate the integration of new technologies such as edge, fog, cloud computing, and big …
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