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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Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer by Hibah Shaath (5599658)

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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Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI by Janaka Senanayake (21749174)

“…Trained on the LVDAndro dataset, the vanilla neural network model achieves a 96% accuracy and 0.96 F1-Score in binary classification for vulnerability detection. Additionally, in multi-class classification, the model accurately identifies Common Weakness Enumeration (CWE) categories with a 93% accuracy and 0.91 F1-Score. …”

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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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.…”

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. …”

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. …”

Estimating Homophily in Social Networks Using Dyadic Predictions by George Berry (5807582)

“…<p dir="ltr">Predictions of node categories are commonly used to estimate homophily and other relational properties in networks. …”

In-Hospital Outcomes and Temporal Trends of Surgical Versus Intravascular Ultrasound–Guided Endovascular Interventions for Femoropopliteal Disease by Elsayed, Basel

“…Procedures were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes, and the Cochran-Armitage test was used to assess temporal trends. …”
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Impact of obesity on patients with ventilator-associated pneumonia: the paradox continues by El Labban, Mohamad

“…METHODS: Using the National Inpatient Sample (NIS) Database from 2017 to 2020, a retrospective study of adult patients with principal diagnosis of VAP with secondary diagnosis with or without obesity according to ICD-10 codes. Several comorbidities and demographics, including age, race, and gender, were analyzed. …”
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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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