Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.

Baldominos A, Saez Y, Isasi P

DOI: 10.3390/s18041288
Published: 2018 Apr 23
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s18041288,
  title = {Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.},
  author = {Baldominos A and Saez Y and Isasi P},
  year = {2018},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s18041288},
  url = {https://doi.org/10.3390/s18041288}
}

RIS

TY  - JOUR
TI  - Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.
AU  - Baldominos A
AU  - Saez Y
AU  - Isasi P
PY  - 2018
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s18041288
UR  - https://doi.org/10.3390/s18041288
ER  -

APA

A, B., Y, S., & P, I. (2018). Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s18041288

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pubmed · retrieved 2026-09-25T10:15:59.206Z