Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

Research article (Computers in Biology and Medicine, 2019) · cited 151× · AI/ML
Press Enter · cited answer in seconds

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

Summary

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals is a scholarly article[1].

Key Facts

  • Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals's instance of is recorded as scholarly article[2].

📑 Cite this page

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). Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he
MLA “Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he.
BibTeX @misc{4ortxyz_automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals}}, year = {2026}, url = {https://4ort.xyz/entity/automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals — https://4ort.xyz/entity/automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automated-detection-of-diabetic-subject-using-pre-trained-2d-cnn-models-with-frequency-spectrum-images-extracted-from-he · Last refreshed: