Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review.

Mardani Korani Z, Moin A, Rodrigues da Silva A, Ferreira JC

DOI: 10.3390/s23031458
Published: 2023 Jan 28
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s23031458,
  title = {Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review.},
  author = {Mardani Korani Z and Moin A and Rodrigues da Silva A and Ferreira JC},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23031458},
  url = {https://doi.org/10.3390/s23031458}
}

RIS

TY  - JOUR
TI  - Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review.
AU  - Mardani Korani Z
AU  - Moin A
AU  - Rodrigues da Silva A
AU  - Ferreira JC
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23031458
UR  - https://doi.org/10.3390/s23031458
ER  -

APA

Z, M. K., A, M., A, R. D. S., & JC, F. (2023). Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23031458

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pubmed · retrieved 2026-09-24T21:21:20.072Z