HydroNeuro: A Data-Efficient IoT Sensing and Edge-AI Framework for Real-Time Hydraulic Anomaly Detection

Nasreddine Somaali, Mohamed Hayouni, Lokman Sboui, Fethi Choubani

Open source

DOI: 10.3390/s26103010
Published: 2026-05-10
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26103010,
  title = {HydroNeuro: A Data-Efficient IoT Sensing and Edge-AI Framework for Real-Time Hydraulic Anomaly Detection},
  author = {Nasreddine Somaali and Mohamed Hayouni and Lokman Sboui and Fethi Choubani},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26103010},
  url = {https://doi.org/10.3390/s26103010}
}

RIS

TY  - JOUR
TI  - HydroNeuro: A Data-Efficient IoT Sensing and Edge-AI Framework for Real-Time Hydraulic Anomaly Detection
AU  - Nasreddine Somaali
AU  - Mohamed Hayouni
AU  - Lokman Sboui
AU  - Fethi Choubani
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26103010
UR  - https://doi.org/10.3390/s26103010
ER  -

APA

Somaali, N., Hayouni, M., Sboui, L., & Choubani, F. (2026). HydroNeuro: A Data-Efficient IoT Sensing and Edge-AI Framework for Real-Time Hydraulic Anomaly Detection. Sensors. https://doi.org/10.3390/s26103010

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crossref · retrieved 2026-09-26T07:33:02.714Z