An Impact Localization Solution Using Embedded Intelligence-Methodology and Experimental Verification via a Resource-Constrained IoT Device.

Katsidimas I, Kostopoulos V, Kotzakolios T, Nikoletseas SE, Panagiotou SH, Tsakonas C.

Open source

DOI: 10.3390/s23020896
Published: 2023-01-12
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s23020896,
  title = {An Impact Localization Solution Using Embedded Intelligence-Methodology and Experimental Verification via a Resource-Constrained IoT Device.},
  author = {Katsidimas I and  Kostopoulos V and  Kotzakolios T and  Nikoletseas SE and  Panagiotou SH and  Tsakonas C.},
  year = {2023},
  journal = {Sensors (Basel)},
  doi = {10.3390/s23020896},
  url = {https://doi.org/10.3390/s23020896}
}

RIS

TY  - JOUR
TI  - An Impact Localization Solution Using Embedded Intelligence-Methodology and Experimental Verification via a Resource-Constrained IoT Device.
AU  - Katsidimas I
AU  -  Kostopoulos V
AU  -  Kotzakolios T
AU  -  Nikoletseas SE
AU  -  Panagiotou SH
AU  -  Tsakonas C.
PY  - 2023
JO  - Sensors (Basel)
DO  - 10.3390/s23020896
UR  - https://doi.org/10.3390/s23020896
ER  -

APA

I, K., V, K., T, K., SE, N., SH, P., & C., T. (2023). An Impact Localization Solution Using Embedded Intelligence-Methodology and Experimental Verification via a Resource-Constrained IoT Device.. Sensors (Basel). https://doi.org/10.3390/s23020896

Source records

europe-pmc · retrieved 2026-09-27T10:41:07.268Z
doaj · retrieved 2026-09-27T10:41:07.274Z