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YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation

Research article (Sensors, 2025) · cited 14× · AI/ML
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YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation

Summary

YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation is a scholarly article[1].

Key Facts

  • YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation. Retrieved May 24, 2026, from https://4ort.xyz/entity/yolo-cbd-classroom-behavior-detection-method-based-on-behavior-feature-extraction-and-aggregation
MLA “YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yolo-cbd-classroom-behavior-detection-method-based-on-behavior-feature-extraction-and-aggregation.
BibTeX @misc{4ortxyz_yolo-cbd-classroom-behavior-detection-method-based-on-behavior-feature-extraction-and-aggregation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation}}, year = {2026}, url = {https://4ort.xyz/entity/yolo-cbd-classroom-behavior-detection-method-based-on-behavior-feature-extraction-and-aggregation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation — https://4ort.xyz/entity/yolo-cbd-classroom-behavior-detection-method-based-on-behavior-feature-extraction-and-aggregation (retrieved 2026-05-24)

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