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On the impact of smart sensor approximations on the accuracy of machine learning tasks
Smart sensors present in ubiquitous Internet of Things (IoT) devices often obtain high energy efficiency by carefully tuning how the sensing, the analog to digital (A/D) conversion and the digital serial transmission are implemented. Such tuning involves approximations, i.e. alterations of the sense...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750373/ https://www.ncbi.nlm.nih.gov/pubmed/33364509 http://dx.doi.org/10.1016/j.heliyon.2020.e05750 |