An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make the data manageable among tiny and batter...

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Detalles Bibliográficos
Autores principales: Signoretti, Gabriel, Silva, Marianne, Andrade, Pedro, Silva, Ivanovitch, Sisinni, Emiliano, Ferrari, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235329/
https://www.ncbi.nlm.nih.gov/pubmed/34204300
http://dx.doi.org/10.3390/s21124153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235329/
https://www.ncbi.nlm.nih.gov/pubmed/34204300
http://dx.doi.org/10.3390/s21124153

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