Transfer Deep Learning Along With Binary Support Vector Machine for Abnormal Behavior Detection. - Ahlam Al-Dhamari; Rubita Sudirman; Nasrul Humaimi Mahmood (IEEE Access, 2020)

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)

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)

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)

Motion Segmentation of Pedestrian Trajectories Using Angular Gaussian Mixture Model. - Ahlam Al-Dhamari; Adel Hafeezallah; Syed Abdul Rahman Abu-Bakar (WSSE, 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 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)

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)