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Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System

Research article (IEEE Sensors Journal, 2020) · cited 18× · AI/ML
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Summary

Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System is a scholarly article[1].

Key Facts

  • Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System. Retrieved May 24, 2026, from https://4ort.xyz/entity/open-set-events-identification-based-on-deep-metric-learning-for-dmzi-perimeter-system
MLA “Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/open-set-events-identification-based-on-deep-metric-learning-for-dmzi-perimeter-system.
BibTeX @misc{4ortxyz_open-set-events-identification-based-on-deep-metric-learning-for-dmzi-perimeter-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System}}, year = {2026}, url = {https://4ort.xyz/entity/open-set-events-identification-based-on-deep-metric-learning-for-dmzi-perimeter-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Open-Set Events Identification Based on Deep Metric-Learning for DMZI Perimeter System — https://4ort.xyz/entity/open-set-events-identification-based-on-deep-metric-learning-for-dmzi-perimeter-system (retrieved 2026-05-24)

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