Home › Entities › academia › Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques

Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques

Research article (2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), 2022) · cited 10× · AI/ML
academia openalex:W4327772927
Press Enter · cited answer in seconds

Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques

Summary

Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques is a scholarly article[1].

Key Facts

  • Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques'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). Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques
MLA “Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques.
BibTeX @misc{4ortxyz_extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques — https://4ort.xyz/entity/extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/extraction-of-sift-features-for-identifying-disaster-hit-areas-using-machine-learning-techniques · Last refreshed: