Ahlam Al-Dhamari

According to our database, Ahlam Al-Dhamari authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Visual Motion Segmentation in Crowd Videos Based on Spatial-Angular Stacked Sparse Autoencoders.

Adel Hafeezallah, Ahlam Al-Dhamari, Syed Abdul Rahman Abu Bakar Al-Attas

Comput. Syst. Sci. Eng., 2023

Motion Pattern-Based Scene Classification Using Adaptive Synthetic Oversampling and Fully Connected Deep Neural Network.

Mohammed Sultan Mohammed, Ahlam Al-Dhamari, Waddah Saeed, Fatima N. Al-Aswadi, Sami Abdulla Mohsen Saleh, Muhammad N. Marsono

IEEE Access, 2023

3D-DNaPE: Dynamic Neighbor-Aware Performance Enhancement for Thermally Constrained 3D Many-Core Systems.

Mohammed Sultan Mohammed, Ahlam Al-Dhamari, Mosab Hamdan, Abdul-Malik H. Y. Saad, Antar S. H. Abdul-Qawy, Muhammad N. Marsono

IEEE Access, 2023

Motion Segmentation of Pedestrian Trajectories Using Angular Gaussian Mixture Model.

Ahlam Al-Dhamari, Adel Hafeezallah, Syed Abdul Rahman Abu-Bakar

Proceedings of the 5th World Symposium on Software Engineering, 2023

2021

Abnormal behavior detection using sparse representations through sequential generalization of k-means.

Ahlam Al-Dhamari, Rubita Sudirman, Nasrul Humaimi Mahmood

Turkish J. Electr. Eng. Comput. Sci., 2021

PEW: Prediction-Based Early Dark Cores Wake-up Using Online Ridge Regression for Many-Core Systems.

Mohammed Sultan Mohammed, Norlina Paraman, Ab Al-Hadi Ab Rahman, Fuad A. Ghaleb, Ahlam Al-Dhamari, Muhammad Nadzir Marsono

IEEE Access, 2021

U-ASD Net: Supervised Crowd Counting Based on Semantic Segmentation and Adaptive Scenario Discovery.

Adel A. Hafeez Allah, Ahlam Al-Dhamari, Syed Abdul Rahman Abu Bakar Al-Attas

IEEE Access, 2021

2020

Transfer Deep Learning Along With Binary Support Vector Machine for Abnormal Behavior Detection.

Ahlam Al-Dhamari, Rubita Sudirman, Nasrul Humaimi Mahmood

IEEE Access, 2020