Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual Classification.

Shahadat N, Maida AS

Open source

DOI
10.3390/s25247663
Published
2025 Dec 17
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s25247663,
  title = {Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual Classification.},
  author = {Shahadat N and Maida AS},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25247663},
  url = {https://doi.org/10.3390/s25247663}
}

RIS

TY  - JOUR
TI  - Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual Classification.
AU  - Shahadat N
AU  - Maida AS
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25247663
UR  - https://doi.org/10.3390/s25247663
ER  -

APA

N, S., & AS, M. (2025). Analyzing Parameter-Efficient Convolutional Neural Network Architectures for Visual Classification.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25247663

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