19 citations · 19 across the 3 of their papers we have counts for
5 papers
CNN-Based Classifier for Automated Identification of Magnetic States in Spin Dynamics Simulations
Amal Aldarawsheh, Ahmed Alia, Stefan Blügel
The identification and classification of different magnetic states are essential for understanding the complex behavior of magnetic systems. Traditional approaches that rely on han…
Social LSTM with Dynamic Occupancy Modeling for Realistic Pedestrian Trajectory Prediction
Ahmed Alia, Mohcine Chraibi, Armin Seyfried
In dynamic and crowded environments, realistic pedestrian trajectory prediction remains a challenging task due to the complex nature of human motion and the mutual influences among…
Hybrid Machine Learning and Physics-based Modelling of Pedestrian Pushing Behaviours at Bottlenecks
Qiancheng Xu, Ezel Üsten, Ahmed Alia +3
In high-density crowds, close proximity between pedestrians makes the steady state highly vulnerable to disruption by pushing behaviours, potentially leading to serious accidents.…
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
Ahmed Alia, Mohammed Maree, Mohcine Chraibi +1
Analyzing the microscopic dynamics of pushing behavior within crowds can offer valuable insights into crowd patterns and interactions. By identifying instances of pushing in crowd…
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
Ahmed Alia, Mohammed Maree, Mohcine Chraibi +2
Crowding at the entrances of large events may lead to critical and life-threatening situations, particularly when people start pushing each other to reach the event faster. Automat…