An IoT-Edge Enabled Deep–Fuzzy Hybrid Model for Real-Time Indoor Air Quality Optimization

Samia Allaoua Chelloug, Mohammed Muthanna, Abdullah Alshahrani, Mohammad Hassan Ali Al-Onaizan, Ammar Muthanna, Faisal Jamil

Open source

DOI: 10.3390/s26133989
Published: 2026-06-23
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26133989,
  title = {An IoT-Edge Enabled Deep–Fuzzy Hybrid Model for Real-Time Indoor Air Quality Optimization},
  author = {Samia Allaoua Chelloug and Mohammed Muthanna and Abdullah Alshahrani and Mohammad Hassan Ali Al-Onaizan and Ammar Muthanna and Faisal Jamil},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26133989},
  url = {https://doi.org/10.3390/s26133989}
}

RIS

TY  - JOUR
TI  - An IoT-Edge Enabled Deep–Fuzzy Hybrid Model for Real-Time Indoor Air Quality Optimization
AU  - Samia Allaoua Chelloug
AU  - Mohammed Muthanna
AU  - Abdullah Alshahrani
AU  - Mohammad Hassan Ali Al-Onaizan
AU  - Ammar Muthanna
AU  - Faisal Jamil
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26133989
UR  - https://doi.org/10.3390/s26133989
ER  -

APA

Chelloug, S. A., Muthanna, M., Alshahrani, A., Al-Onaizan, M. H. A., Muthanna, A., & Jamil, F. (2026). An IoT-Edge Enabled Deep–Fuzzy Hybrid Model for Real-Time Indoor Air Quality Optimization. Sensors. https://doi.org/10.3390/s26133989

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crossref · retrieved 2026-11-04T06:46:05.120Z