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). An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-rnn-based-hybrid-model-for-classification-of-electrooculogram-signal-for-hci
MLA“An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-rnn-based-hybrid-model-for-classification-of-electrooculogram-signal-for-hci.
BibTeX@misc{4ortxyz_an-rnn-based-hybrid-model-for-classification-of-electrooculogram-signal-for-hci_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI}}, year = {2026}, url = {https://4ort.xyz/entity/an-rnn-based-hybrid-model-for-classification-of-electrooculogram-signal-for-hci}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An RNN-based Hybrid Model for Classification of Electrooculogram Signal for HCI — https://4ort.xyz/entity/an-rnn-based-hybrid-model-for-classification-of-electrooculogram-signal-for-hci (retrieved 2026-05-24)
