Home › Entities › academia › Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50

Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50

Research article (2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2021) · cited 38× · AI/ML
academia openalex:W3153583978
Press Enter · cited answer in seconds

Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50

Summary

Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50 is a scholarly article[1].

Key Facts

  • Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 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). Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred
MLA “Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred.
BibTeX @misc{4ortxyz_forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50 — https://4ort.xyz/entity/forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/forecasting-covid-19-via-registration-slips-of-patients-using-resnet-101-and-performance-analysis-and-comparison-of-pred · Last refreshed: