4 citations · 6 across the 27 of their papers we have counts for
9 papers · 1 filter
From CISC to RISC: language-model guided assembly transpilation
Ahmed Heakl, Chaimaa Abi, Rania Hossam +1
The transition from x86 to ARM architecture is becoming increasingly common across various domains, primarily driven by ARM's energy efficiency and improved performance across trad…
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
Sara Ghaboura, Ahmed Heakl, Omkar Thawakar +7
Recent years have witnessed a significant interest in developing large multimodal models (LMMs) capable of performing various visual reasoning and understanding tasks. This has led…
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
Rania Hossam, Ahmed Heakl, Walid Gomaa
Traditional fish farming practices often lead to inefficient feeding, resulting in environmental issues and reduced productivity. We developed an innovative system combining comput…
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
Ahmed Heakl, Youssef Mohamed, Noran Mohamed +2
The increasing reliance on online recruitment platforms coupled with the adoption of AI technologies has highlighted the critical need for efficient resume classification methods.…
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
Ahmed Heakl, Youssef Zaghloul, Mennatullah Ali +2
Motivated by the widespread increase in the phenomenon of code-switching between Egyptian Arabic and English in recent times, this paper explores the intricacies of machine transla…
DroneVis: Versatile Computer Vision Library for Drones
Ahmed Heakl, Fatma Youssef, Victor Parque +1
This paper introduces DroneVis, a novel library designed to automate computer vision algorithms on Parrot drones. DroneVis offers a versatile set of features and provides a diverse…
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach
Mazen Balat, Youssef Mohamed, Ahmed Heakl +1
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures…
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning
Youssef Mohamed, Zeyad Youssef, Ahmed Heakl +1
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like p…
AraSpider: Democratizing Arabic-to-SQL
Ahmed Heakl, Youssef Mohamed, Ahmed B. Zaky
This study presents AraSpider, the first Arabic version of the Spider dataset, aimed at improving natural language processing (NLP) in the Arabic-speaking community. Four multiling…