Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features
Summary
Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features is a scholarly article[1].
Key Facts
Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features's instance of is recorded as scholarly article[2].
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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). Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-approach-to-depth-of-anaesthesia-assessment-based-on-hybrid-transform-and-statistical-features
MLA“Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-approach-to-depth-of-anaesthesia-assessment-based-on-hybrid-transform-and-statistical-features.
BibTeX@misc{4ortxyz_robust-approach-to-depth-of-anaesthesia-assessment-based-on-hybrid-transform-and-statistical-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features}}, year = {2026}, url = {https://4ort.xyz/entity/robust-approach-to-depth-of-anaesthesia-assessment-based-on-hybrid-transform-and-statistical-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features — https://4ort.xyz/entity/robust-approach-to-depth-of-anaesthesia-assessment-based-on-hybrid-transform-and-statistical-features (retrieved 2026-05-24)
