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Multimedia University
- Cyberjaya, Malaysia
- https://aminshennan.vercel.app/
- in/aminshennan
Highlights
- Pro
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Forgery_Detection_with_ViT_and_RestNet
Forgery_Detection_with_ViT_and_RestNet PublicDeep learning system achieving 95.36% accuracy in media forgery detection using hybrid ResNet50+ViT architecture. Optimized for 20% training data efficiency with PyTorch, OpenCV, and Flask-based in…
Jupyter Notebook 2
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Hand-Sign-language-detection
Hand-Sign-language-detection PublicArabic sign language recognition system using transfer learning (ResNet101V2) and YOLO-based hand detection. Benchmarks CNN, LSTM, and GNN architectures with multi-metric evaluation framework.
Jupyter Notebook
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Parameter-Efficient-Fine-tuning-of-an-11B-LLM-with-LoRA-for-Domain-Specific-Summarization.
Parameter-Efficient-Fine-tuning-of-an-11B-LLM-with-LoRA-for-Domain-Specific-Summarization. PublicNLP pipeline with parameter-efficient LoRA fine-tuning on FLAN-T5-XXL (11B params). Achieves +2.6 ROUGE-1 improvement with <1% trainable parameters and 8-bit quantization for scientific paper summa…
Jupyter Notebook
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Sentiment-Analysis-of-Women-s-Clothing-E-Commerce-Reviews-Using-Machine-Learning
Sentiment-Analysis-of-Women-s-Clothing-E-Commerce-Reviews-Using-Machine-Learning PublicMulti-architecture sentiment analysis (LSTM, CNN, FNN) with GloVe embeddings and Bayesian hyperparameter optimization. Comprehensive evaluation of e-commerce review classification with F1-score met…
Jupyter Notebook 1
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