Compressor Flow Perception via Deep Learning Modeling with Multi-Source Dynamic Fusion of Temporal Features by Bio-Inspired Optimization.
- DOI
- 10.3390/biomimetics11070452
- Published
- 2026 Jun 30
- Container
- Biomimetics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics11070452,
title = {Compressor Flow Perception via Deep Learning Modeling with Multi-Source Dynamic Fusion of Temporal Features by Bio-Inspired Optimization.},
author = {Zhang M and Zhao Y and Li H and Nan X and Ma N and Liu R and Wen Q},
year = {2026},
journal = {Biomimetics (Basel, Switzerland)},
doi = {10.3390/biomimetics11070452},
url = {https://doi.org/10.3390/biomimetics11070452}
}RIS
TY - JOUR TI - Compressor Flow Perception via Deep Learning Modeling with Multi-Source Dynamic Fusion of Temporal Features by Bio-Inspired Optimization. AU - Zhang M AU - Zhao Y AU - Li H AU - Nan X AU - Ma N AU - Liu R AU - Wen Q PY - 2026 JO - Biomimetics (Basel, Switzerland) DO - 10.3390/biomimetics11070452 UR - https://doi.org/10.3390/biomimetics11070452 ER -
APA
M, Z., Y, Z., H, L., X, N., N, M., R, L., & Q, W. (2026). Compressor Flow Perception via Deep Learning Modeling with Multi-Source Dynamic Fusion of Temporal Features by Bio-Inspired Optimization.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics11070452
Source records
- pubmed · retrieved 2026-11-10T14:00:50.862Z