SCNNTraffic: A lightweight and energy-efficient traffic classification method based on spiking convolution neural networks
Crossref DOI link: https://doi.org/10.1007/s12083-026-02212-y
Published Online: 2026-02-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zeng, Qin
Qu, Dan
Zhang, Hao
Chen, Yaqi
Zhang, Wenlin
Text and Data Mining valid from 2026-02-25
Version of Record valid from 2026-02-25
Article History
Received: 17 July 2025
Accepted: 12 February 2026
First Online: 25 February 2026
Declarations
:
: The authors declare no competing interests.
: Not applicable.