Unveiling Insights: Harnessing the Power of the Most-Frequent-Value Method for Sensor Data Analysis

The paper explores the application of Steiner’s most-frequent-value (MFV) statistical method in sensor data analysis. The MFV is introduced as a powerful tool to identify the most-common value in a dataset, even when data points are scattered, unlike traditional mode calculations. Furthermore, the p...

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Detalles Bibliográficos
Autores principales: Golovko, Victor V., Kamaev, Oleg, Sun, Jiansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648448/
https://www.ncbi.nlm.nih.gov/pubmed/37960554
http://dx.doi.org/10.3390/s23218856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648448/
https://www.ncbi.nlm.nih.gov/pubmed/37960554
http://dx.doi.org/10.3390/s23218856

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