Ahmed F. Ibrahim

According to our database, Ahmed F. Ibrahim authored at least 11 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Intelligent driver monitoring systems: a survey of drowsiness detection technologies for road safety.

Osama F. Hassan, Ahmed F. Ibrahim, Mohamed Abd Allah Makhlouf, B. Hafiz, Ahmed Gomaa

Artif. Intell. Rev., June, 2026

A Multi-Agent Consensus Protocol for Stable Software Remodularization.

Ahmed F. Ibrahim

CoRR, May, 2026

Neuro-Symbolic Agents for Hallucination-Free Requirements Reuse.

Ahmed F. Ibrahim

CoRR, May, 2026

Efficient Deep Learning Models Integrated with a Smart Web Application for Classifying Heart Diseases Based on ECG Signals.

Saeed Mohsen, Ahmed F. Ibrahim, Osama F. Hassan, Norah Alnaim, Noorah Albehaijan, M. Abdel-Aziz

Comput., 2026

Comprehensive Benchmarking of Attention Enhanced CNNs and Transfer Learning Models for Real Time Driver Drowsiness Detection.

Osama F. Hassan, Ahmed F. Ibrahim, Ahmed Gomaa, Samah Alshathri, Walid El-Shafai, Mohamed Abd Allah Makhlouf, B. Hafiz

IEEE Access, 2026

2025

Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising.

Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai

IEEE Access, 2025

2024

A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges.

Nourhan Ibrahim, Samar AboulEla, Ahmed F. Ibrahim, Rasha F. Kashef

Discov. Artif. Intell., 2024

2021

Predicting market movement direction for bitcoin: A comparison of time series modeling methods.

Ahmed F. Ibrahim, Rasha Kashef, Liam Corrigan

Comput. Electr. Eng., 2021

2020

Multi-Level Clustering-Based Outlier's Detection (MCOD) Using Self-Organizing Maps.

Menglu Li, Rasha Kashef, Ahmed F. Ibrahim

Big Data Cogn. Comput., 2020

Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model.

Ahmed F. Ibrahim, Liam Corrigan, Rasha Kashef

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2014

Cooperative based software clustering on dependency graphs.

Ahmed F. Ibrahim, Derek Rayside, Rasha Kashef

Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014