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Ijecs Journal by rjdhana41107 is a document available to read on EtoBox.
What is Ijecs Journal about?
This research presents an AI-powered deepfake detection system utilizing ensemble learning to enhance accuracy in identifying manipulated video content. By integrating Convolutional Neural Networks, Vision Transformers, and audio-lip synchronization models, the system achieves a detection accuracy of 97.8%, significantly outperforming traditional single-model approaches. The findings highlight the effectiveness of multi-model fusion in addressing the challenges posed by advanced deepfake technologies.
- Author
- rjdhana41107
- Language
- EN