Virual Oral Presentation Slide by Slide

IEEE/ICACT20250142 Slide.04        [Big Slide]	Oral Presentation
	Contribution In this paper, we propose an AI-driven smishing detection approach using TinyBERT for feature extraction and Aquila Optimization (AO) to optimize a deep learning model. With AO-tuned hyperparameters, the proposed model achieved an accuracy of 96.81%, outperforming standard models like GRU, LSTM, and SVM. Our approach offers a robust, efficient solution for Android smishing detection.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!