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...

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Detalles Bibliográficos
Autores principales: Katsidimas, Ioannis, Kostopoulos, Vassilis, Kotzakolios, Thanasis, Nikoletseas, Sotiris E., Panagiotou, Stefanos H., Tsakonas, Constantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

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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