Home ›
Entities
› academia
› Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System
Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System
Research article (Sensors, 2022) · cited 20× · AI/ML
Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System
Summary
Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System is a scholarly article[1].
Key Facts
Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System'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). Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-of-eeg-based-biometric-identification-using-state-of-the-art-neural-architectures-on-a-real-time-raspberry
MLA“Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-of-eeg-based-biometric-identification-using-state-of-the-art-neural-architectures-on-a-real-time-raspberry.
BibTeX@misc{4ortxyz_investigation-of-eeg-based-biometric-identification-using-state-of-the-art-neural-architectures-on-a-real-time-raspberry_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-of-eeg-based-biometric-identification-using-state-of-the-art-neural-architectures-on-a-real-time-raspberry}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System — https://4ort.xyz/entity/investigation-of-eeg-based-biometric-identification-using-state-of-the-art-neural-architectures-on-a-real-time-raspberry (retrieved 2026-05-24)
