Home ›
Entities
› academia
› DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
Research article (Expert Systems with Applications, 2021) · cited 161× · AI/ML
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
Summary
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition is a scholarly article[1].
Key Facts
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/ds-cnn-a-pre-trained-xception-model-based-on-depth-wise-separable-convolutional-neural-network-for-finger-vein-recogniti
MLA“DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ds-cnn-a-pre-trained-xception-model-based-on-depth-wise-separable-convolutional-neural-network-for-finger-vein-recogniti.
BibTeX@misc{4ortxyz_ds-cnn-a-pre-trained-xception-model-based-on-depth-wise-separable-convolutional-neural-network-for-finger-vein-recogniti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition}}, year = {2026}, url = {https://4ort.xyz/entity/ds-cnn-a-pre-trained-xception-model-based-on-depth-wise-separable-convolutional-neural-network-for-finger-vein-recogniti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition — https://4ort.xyz/entity/ds-cnn-a-pre-trained-xception-model-based-on-depth-wise-separable-convolutional-neural-network-for-finger-vein-recogniti (retrieved 2026-05-24)