Maged Shoman

According to our database, Maged Shoman authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists' Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images.

Maged Shoman, Tarek Ghoul, Gabriel Lanzaro, Tala Alsharif, Suliman A. Gargoum, Tarek Sayed

Algorithms, May, 2024

Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data.

Maged Shoman, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi

Adv. Data Sci. Adapt. Anal., 2024

Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets.

Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Maged Shoman, Minsoo Park, Seunghee Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis.

Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques.

Yasser Shohoud, Maged Shoman, Sarah Abdelazim

CoRR, 2023

Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs.

Abdul Rashid Mussah, Maged Shoman, Mark Amo-Boateng, Yaw Adu-Gyamfi

CoRR, 2023

2022

GC-GRU-N for Traffic Prediction using Loop Detector Data.

Maged Shoman, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi

CoRR, 2022

Exploring Preferences for Transportation Modes in the City of Munich after the Recent Incorporation of Ride-Hailing Companies.

Maged Shoman, Ana Tsui Moreno

CoRR, 2022

Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction.

Maged Shoman, Mark Amo-Boateng, Yaw Adu-Gyamfi

Adv. Data Sci. Adapt. Anal., 2022

A Region-Based Deep Learning Approach to Automated Retail Checkout.

Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.

Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma

CoRR, 2021