Home ›
Entities
› academia
› The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models
The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models
Research article (Physical and Engineering Sciences in Medicine, 2022) · cited 12× · AI/ML
The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models
Summary
The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models is a scholarly article[1].
Key Facts
The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models'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). The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-single-channel-dry-electrode-ssvep-based-biometric-approach-data-augmentation-techniques-against-overfitting-for-rnn
MLA“The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-single-channel-dry-electrode-ssvep-based-biometric-approach-data-augmentation-techniques-against-overfitting-for-rnn.
BibTeX@misc{4ortxyz_the-single-channel-dry-electrode-ssvep-based-biometric-approach-data-augmentation-techniques-against-overfitting-for-rnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models}}, year = {2026}, url = {https://4ort.xyz/entity/the-single-channel-dry-electrode-ssvep-based-biometric-approach-data-augmentation-techniques-against-overfitting-for-rnn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models — https://4ort.xyz/entity/the-single-channel-dry-electrode-ssvep-based-biometric-approach-data-augmentation-techniques-against-overfitting-for-rnn (retrieved 2026-05-24)
