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Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network
Research article (Journal of Neuroscience Methods, 2022) · cited 25× · AI/ML
Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network
Summary
Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network is a scholarly article[1].
Key Facts
Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network's instance of is recorded as scholarly article[2].
References
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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). Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-autism-spectrum-disorder-in-resting-state-fnirs-signals-based-on-multiscale-entropy-and-a-two-branch-deep-le
MLA“Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-autism-spectrum-disorder-in-resting-state-fnirs-signals-based-on-multiscale-entropy-and-a-two-branch-deep-le.
BibTeX@misc{4ortxyz_identifying-autism-spectrum-disorder-in-resting-state-fnirs-signals-based-on-multiscale-entropy-and-a-two-branch-deep-le_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-autism-spectrum-disorder-in-resting-state-fnirs-signals-based-on-multiscale-entropy-and-a-two-branch-deep-le}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network — https://4ort.xyz/entity/identifying-autism-spectrum-disorder-in-resting-state-fnirs-signals-based-on-multiscale-entropy-and-a-two-branch-deep-le (retrieved 2026-05-24)
