A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control.

Yang J, Liu H

DOI: 10.3390/s26061949
Published: 2026 Mar 20
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26061949,
  title = {A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control.},
  author = {Yang J and Liu H},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26061949},
  url = {https://doi.org/10.3390/s26061949}
}

RIS

TY  - JOUR
TI  - A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control.
AU  - Yang J
AU  - Liu H
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26061949
UR  - https://doi.org/10.3390/s26061949
ER  -

APA

J, Y., & H, L. (2026). A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26061949

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pubmed · retrieved 2026-09-26T00:50:05.329Z