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An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device †
Recent advances both in hardware and software have facilitated the embedded intelligence (EI) research field, and enabled machine learning and decision-making integration in resource-scarce IoT devices and systems, realizing “conscious” and self-explanatory objects (smart objects). In the context of...
Autores principales: | Katsidimas, Ioannis, Kostopoulos, Vassilis, Kotzakolios, Thanasis, Nikoletseas, Sotiris E., Panagiotou, Stefanos H., Tsakonas, Constantinos |
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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/PMC9860581/ https://www.ncbi.nlm.nih.gov/pubmed/36679690 http://dx.doi.org/10.3390/s23020896 |
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