4 papers
Uncertainty-Guided Attention and Entropy-Weighted Loss for Precise Plant Seedling Segmentation
Mohamed Ehab, Ali Hamdi
Plant seedling segmentation supports automated phenotyping in precision agriculture. Standard segmentation models face difficulties due to intricate background images and fine stru…
Adaptive Multi-Expert Reasoning via Difficulty-Aware Routing and Uncertainty-Guided Aggregation
Mohamed Ehab, Ali Hamdi
Large language models (LLMs) demonstrate strong performance in math reasoning benchmarks, but their performance varies inconsistently across problems with varying levels of difficu…
LMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR
Osama Hosam Abdellaif, Abdelrahman Nader, Ali Hamdi
This paper introduces LMRPA, a novel Large Model-Driven Robotic Process Automation (RPA) model designed to greatly improve the efficiency and speed of Optical Character Recognition…
LMV-RPA: Large Model Voting-based Robotic Process Automation
Osama Abdellatif, Ahmed Ayman, Ali Hamdi
Automating high-volume unstructured data processing is essential for operational efficiency. Optical Character Recognition (OCR) is critical but often struggles with accuracy and e…