Convolution neural network with batch normalization and inception-residual modules for Android malware classification.
- DOI
- 10.1038/s41598-022-18402-6
- Published
- 2022 Aug 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-022-18402-6,
title = {Convolution neural network with batch normalization and inception-residual modules for Android malware classification.},
author = {Liu T and Zhang H and Long H and Shi J and Yao Y},
year = {2022},
journal = {Scientific reports},
doi = {10.1038/s41598-022-18402-6},
url = {https://doi.org/10.1038/s41598-022-18402-6}
}RIS
TY - JOUR TI - Convolution neural network with batch normalization and inception-residual modules for Android malware classification. AU - Liu T AU - Zhang H AU - Long H AU - Shi J AU - Yao Y PY - 2022 JO - Scientific reports DO - 10.1038/s41598-022-18402-6 UR - https://doi.org/10.1038/s41598-022-18402-6 ER -
APA
T, L., H, Z., H, L., J, S., & Y, Y. (2022). Convolution neural network with batch normalization and inception-residual modules for Android malware classification.. Scientific reports. https://doi.org/10.1038/s41598-022-18402-6
Source records
- pubmed · retrieved 2026-09-26T05:30:56.337Z