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

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Data Embedding in Scrambled Video by Rotating Motion Vectors حسب Ahmed, Afaf Eltayeb Mohamedelbagir

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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 حسب Hibah Shaath (5599658)

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

"…DNA microarray technology is the fabrication of a single chip to contain a thousand genetic codes. Each microarray experiment can analyze many thousands of genes in parallel. …"
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HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors حسب Shanableh, Tamer

"…As such, message bits are extracted and the video is correctly reconstructed to its unscrambled state. Coding units that result in misclassification are identified at the encoder and excluded from message embedding. …"
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Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI حسب Janaka Senanayake (21749174)

"…The extended model demonstrates improved accuracy of 96% and F1-Score of 0.96 in both binary and multi-class classifications. The use of XAI plays a pivotal role in presenting vulnerability detection results to developers, offering prediction probabilities for each word within the code. …"

Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions حسب 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 حسب Radhakrishnan Vishnubalaji (3563306)

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

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

"…Second, due to manual coding, the results are often stale by the time they get to the ecologists. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"

Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model حسب 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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Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding حسب Shanableh, Tamer

"…In the former solution, multi models are generated based on the total number of split flags in a coding unit. While in the latter solution, split decisions are modelled at three different coding depths. …"
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Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…<p>Our study addresses the challenge of imbalanced regression data in Machine Learning (ML) by introducing tailored methods for different data structures. …"

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

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

"…The feature vectors are then used for generating a dimensionality reduction model and a classification model. The generated models at each coding depth are then used to predict the split decisions of subsequent coding units. …"
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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks حسب Sawsan S. Sayed (16896414)

"…In this paper, a generalized classification for the DC voltage control methods in an MTDC system is delivered. …"

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

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Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques حسب 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 حسب Khaled Al-Thelaya (17302711)

"…We further augment the proposed descriptor with feature coefficients obtained through sparse coding of the extracted cellular structures using K-sparse autoencoders. …"

User-independent recognition of Arabic sign language for facilitating communication with the deaf community حسب Shanableh, Tamer

"…An average classification rate of 87% is reported.…"
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