Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis

Research article (Pattern Recognition, 2017) · cited 34× · AI/ML
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Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis

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Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-the-emotional-stress-and-physical-stress-using-signal-magnification-and-canonical-correlation-analysis
MLA “Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-the-emotional-stress-and-physical-stress-using-signal-magnification-and-canonical-correlation-analysis.
BibTeX @misc{4ortxyz_classification-of-the-emotional-stress-and-physical-stress-using-signal-magnification-and-canonical-correlation-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-the-emotional-stress-and-physical-stress-using-signal-magnification-and-canonical-correlation-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis — https://4ort.xyz/entity/classification-of-the-emotional-stress-and-physical-stress-using-signal-magnification-and-canonical-correlation-analysis (retrieved 2026-05-24)

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