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1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy
Research article (Cognitive Computation, 2022) · cited 12× · AI/ML
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy
Summary
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy is a scholarly article[1].
Key Facts
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy'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). 1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy. Retrieved May 24, 2026, from https://4ort.xyz/entity/1d-multi-point-local-ternary-pattern-a-novel-feature-extraction-method-for-analyzing-cognitive-engagement-of-students-in
MLA“1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/1d-multi-point-local-ternary-pattern-a-novel-feature-extraction-method-for-analyzing-cognitive-engagement-of-students-in.
BibTeX@misc{4ortxyz_1d-multi-point-local-ternary-pattern-a-novel-feature-extraction-method-for-analyzing-cognitive-engagement-of-students-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy}}, year = {2026}, url = {https://4ort.xyz/entity/1d-multi-point-local-ternary-pattern-a-novel-feature-extraction-method-for-analyzing-cognitive-engagement-of-students-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy — https://4ort.xyz/entity/1d-multi-point-local-ternary-pattern-a-novel-feature-extraction-method-for-analyzing-cognitive-engagement-of-students-in (retrieved 2026-05-24)
