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Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications

Detalles Bibliográficos
Autores principales: Ortega, Felipe, Cano, Emilio L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321899/
https://www.ncbi.nlm.nih.gov/pubmed/35885073
http://dx.doi.org/10.3390/e24070850
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author Ortega, Felipe
Cano, Emilio L.
author_facet Ortega, Felipe
Cano, Emilio L.
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spelling pubmed-93218992022-07-27 Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications Ortega, Felipe Cano, Emilio L. Entropy (Basel) Editorial MDPI 2022-06-21 /pmc/articles/PMC9321899/ /pubmed/35885073 http://dx.doi.org/10.3390/e24070850 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Ortega, Felipe
Cano, Emilio L.
Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_full Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_fullStr Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_full_unstemmed Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_short Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_sort sensor data analytics: challenges and methods for data-intensive applications
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321899/
https://www.ncbi.nlm.nih.gov/pubmed/35885073
http://dx.doi.org/10.3390/e24070850
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