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An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest

Research article (IEEE Journal of Biomedical and Health Informatics, 2020) · cited 66× · AI/ML
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An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest

Summary

An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest is a scholarly article[1].

Key Facts

  • An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-ecg-classification-system-using-resource-saving-architecture-and-random-forest
MLA “An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-ecg-classification-system-using-resource-saving-architecture-and-random-forest.
BibTeX @misc{4ortxyz_an-efficient-ecg-classification-system-using-resource-saving-architecture-and-random-forest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-ecg-classification-system-using-resource-saving-architecture-and-random-forest}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient ECG Classification System Using Resource-Saving Architecture and Random Forest — https://4ort.xyz/entity/an-efficient-ecg-classification-system-using-resource-saving-architecture-and-random-forest (retrieved 2026-05-24)

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