Enhanced Binary Cuckoo Search With Frequent Values and Rough Set Theory for Feature Selection. - Ahmed Alia; Adel Taweel (IEEE Access, 2021)

A Fast Hybrid Deep Neural Network Model for pushing behavior detection in human crowds. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi (AICCSA, 2022)

On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi (Behav. Inf. Technol., 2022)

A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi (Sensors, 2022)

A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi; Anas Toma; Armin Seyfried (IEEE Access, 2023)

A cloud-based deep learning system for improving crowd safety at event entrances. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi; Anas Toma; Armin Seyfried (CoRR, 2023)

A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos. - Ahmed Alia; Mohammed Maree; Mohcine Chraibi; Armin Seyfried (CoRR, 2023)

RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos. - Mohamad Abubaker; Zubayda Alsadder; Hamed Abdelhaq; Maik Boltes; Ahmed Alia (CoRR, 2024)

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds. - Mohamad Abubaker; Zubayda Alsadder; Hamed Abdelhaq; Maik Boltes; Ahmed Alia (IEEE Access, 2025)