5 papers
RIRO: Reshaping Inputs, Refining Outputs Unlocking the Potential of Large Language Models in Data-Scarce Contexts
Ali Hamdi, Hozaifa Kassab, Mohamed Bahaa +1
Large language models (LLMs) have significantly advanced natural language processing, excelling in areas like text generation, summarization, and question-answering. Despite their…
Evaluating Predictive Models in Cybersecurity: A Comparative Analysis of Machine and Deep Learning Techniques for Threat Detection
Momen Hesham, Mohamed Essam, Mohamed Bahaa +4
As these attacks become more and more difficult to see, the need for the great hi-tech models that detect them is undeniable. This paper examines and compares various machine learn…
Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis
Mohamed Bahaa, Mena Hany, Ehab E. Zakaria
With the exponential increase in video content, the need for accurate deception detection in human-centric video analysis has become paramount. This research focuses on the extract…
MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition
Hozaifa Kassab, Ahmed Mahmoud, Mohamed Bahaa +2
We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset i…
GCF: Graph Convolutional Networks for Facial Expression Recognition
Hozaifa Kassab, Mohamed Bahaa, Ali Hamdi
Facial Expression Recognition (FER) is vital for understanding interpersonal communication. However, existing classification methods often face challenges such as vulnerability to…