Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM

Research article (Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2023) · cited 22× · AI/ML
Press Enter · cited answer in seconds

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM

Summary

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM is a scholarly article[1].

Key Facts

  • Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM'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). Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm
MLA “Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm.
BibTeX @misc{4ortxyz_deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM}}, year = {2026}, url = {https://4ort.xyz/entity/deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM — https://4ort.xyz/entity/deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deepfake-detection-analyzing-hybrid-dataset-utilizing-cnn-and-svm · Last refreshed: