An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge by Zaulkernan, Imran

“…Second, due to manual coding, the results are often stale by the time they get to the ecologists. …”
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User-independent recognition of Arabic sign language for facilitating communication with the deaf community by Shanableh, Tamer

“…The prediction errors of consecutive segmented images are then accumulated into two images according to the directionality of the motion. …”
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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images by Zahoor Ahmad (358103)

“…<p>We introduce an end-to-end framework for the automated visual annotation of histopathology whole slide images. Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation to extend classes of sparsely distributed nuclei across the entire slide. …”

Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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Predicting split decisions of coding units in HEVC video compression using machine learning techniques by Hassan, Mahitab Alaaeldin

“…In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. …”
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Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing by Towheed, Mohammad Asif

“…DCT and zonal coding is then applied to these matrices to form one concise feature vector that represents a walk. …”
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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks by Sawsan S. Sayed (16896414)

“…A comprehensive performance assessment is also presented considering the control methods from the perspective of the control method and objective, system efficiency, grid-code violation, communication requirement, and design complexity and flexibility.…”

Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques by Issa, Obada

“…Experimental results on the JHMDB dataset resulted in average classification accuracies of 68.8% and 74.2% when using the projected phases of motion vectors and video coding feature variables, respectively. …”
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InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification by Khaled Al-Thelaya (17302711)

“…We demonstrate the capabilities of our framework in the context of visual analysis and unsupervised classification of 2D histology images and 3D nuclear envelopes extracted from serial section electron microscopy stacks.…”

Why does the adverse effect of inappropriate MRI for LBP vary by geographic location? An exploratory analysis by Mujahed Shraim (14153145)

“…LBP cases with at least 1 day of work disability were identified by reviewing indemnity service records and medical bills using a comprehensive list of codes from the International Classification of Diseases, Ninth Edition (ICD-9) indicating LBP or nonspecific back pain, excluding medically complicated cases.…”

Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

“…We adapt K-Nearest Neighbor Oversampling-Regression (KNNOR-Reg), originally for imbalanced classification, to address imbalanced regression in low population datasets, evolving to KNNOR-Deep Regression (KNNOR-DeepReg) for high-population datasets. …”

Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

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Data Embedding and Extraction in Scrambled Video using Machine Learning by Ahmed, Afaf Eltayeb Mohamedelbagir

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