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

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

“…The primary goal of the proposed approach is to reduce the cost of the wildlife monitoring process for ecologists, and to provide real-time animal sightings data from the camera traps in the field. Camera trap image data consisting of 66,400 images were used to train the InceptionV3, MobileNetV2, ResNet18, EfficientNetB1, DenseNet121, and Xception neural network models. …”
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Data Embedding in Scrambled Video by Rotating Motion Vectors by Ahmed, Afaf Eltayeb Mohamedelbagir

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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by Abu Zitar, Raed

“…However, gene expression data is characterized as a high dimensional data that typically encompassed of redundant, noisy, and irrelevant genes. …”
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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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HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors by Shanableh, Tamer

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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)

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

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

“…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …”

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

“…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”

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

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Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions by Sara A. Al-Emadi (22827935)

“…Domain Generalisation (DG) aims to bridge the distribution shift between the source and target domains by improving the generalisability of the model to Out-Of-Distribution (OOD) data. This challenge is prominent in satellite imagery classification due to the scarcity of data from underrepresented regions such as Africa and Oceania. …”

LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities by Radhakrishnan Vishnubalaji (3563306)

“…Our data revealed a novel lncRNA-based classification of TNBC and suggested their potential utilization as disease biomarkers and therapeutic targets.…”

Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model by Al-Bashabsheh, Emran

“…Electronic health records provide a vast amount of text health data written by physicians as patient clinical notes. …”
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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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Data Embedding and Extraction in Scrambled Video using Machine Learning by Ahmed, Afaf Eltayeb Mohamedelbagir

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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. …”

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.…”

Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: a systematic analysi... by Annie Haakenstad (673009)

“…From the WHO National Health Workforce Accounts, we identified 2950 country-years of data. We mapped data from all occupational coding systems to the International Standard Classification of Occupations 1988 (ISCO-88), allowing for standardised estimation of densities for 16 categories of health workers across the full time series. …”