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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |