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). Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/personalized-deep-bi-lstm-rnn-based-model-for-pain-intensity-classification-using-eda-signal
MLA“Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/personalized-deep-bi-lstm-rnn-based-model-for-pain-intensity-classification-using-eda-signal.
BibTeX@misc{4ortxyz_personalized-deep-bi-lstm-rnn-based-model-for-pain-intensity-classification-using-eda-signal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal}}, year = {2026}, url = {https://4ort.xyz/entity/personalized-deep-bi-lstm-rnn-based-model-for-pain-intensity-classification-using-eda-signal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal — https://4ort.xyz/entity/personalized-deep-bi-lstm-rnn-based-model-for-pain-intensity-classification-using-eda-signal (retrieved 2026-05-24)