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Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network
Research article (Cluster Computing, 2025) · cited 10× · AI/ML
Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network
Summary
Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network is a scholarly article[1].
Key Facts
Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-electroencephalogram-based-biometric-identification-against-gan-generated-artificial-signals-using-a-novel-end-to
MLA“Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-electroencephalogram-based-biometric-identification-against-gan-generated-artificial-signals-using-a-novel-end-to.
BibTeX@misc{4ortxyz_robust-electroencephalogram-based-biometric-identification-against-gan-generated-artificial-signals-using-a-novel-end-to_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network}}, year = {2026}, url = {https://4ort.xyz/entity/robust-electroencephalogram-based-biometric-identification-against-gan-generated-artificial-signals-using-a-novel-end-to}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network — https://4ort.xyz/entity/robust-electroencephalogram-based-biometric-identification-against-gan-generated-artificial-signals-using-a-novel-end-to (retrieved 2026-05-24)
