DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection.

Firouzi A, Ghorbani AA

Open source

DOI
10.3390/s26092662
Published
2026 Apr 24
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26092662,
  title = {DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection.},
  author = {Firouzi A and Ghorbani AA},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26092662},
  url = {https://doi.org/10.3390/s26092662}
}

RIS

TY  - JOUR
TI  - DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection.
AU  - Firouzi A
AU  - Ghorbani AA
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26092662
UR  - https://doi.org/10.3390/s26092662
ER  - 

APA

A, F., & AA, G. (2026). DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092662

Source records