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Special issue on advances in data intelligence and modelling

Detalles Bibliográficos
Autores principales: Shakshuki, Elhadi M., Yasar, Ansar-Ul-Haque
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814374/
https://www.ncbi.nlm.nih.gov/pubmed/33488838
http://dx.doi.org/10.1007/s12652-020-02846-7
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author Shakshuki, Elhadi M.
Yasar, Ansar-Ul-Haque
author_facet Shakshuki, Elhadi M.
Yasar, Ansar-Ul-Haque
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spelling pubmed-78143742021-01-18 Special issue on advances in data intelligence and modelling Shakshuki, Elhadi M. Yasar, Ansar-Ul-Haque J Ambient Intell Humaniz Comput Editorial Springer Berlin Heidelberg 2021-01-19 2021 /pmc/articles/PMC7814374/ /pubmed/33488838 http://dx.doi.org/10.1007/s12652-020-02846-7 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Editorial
Shakshuki, Elhadi M.
Yasar, Ansar-Ul-Haque
Special issue on advances in data intelligence and modelling
title Special issue on advances in data intelligence and modelling
title_full Special issue on advances in data intelligence and modelling
title_fullStr Special issue on advances in data intelligence and modelling
title_full_unstemmed Special issue on advances in data intelligence and modelling
title_short Special issue on advances in data intelligence and modelling
title_sort special issue on advances in data intelligence and modelling
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814374/
https://www.ncbi.nlm.nih.gov/pubmed/33488838
http://dx.doi.org/10.1007/s12652-020-02846-7
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