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

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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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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. …”

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

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Oversampling techniques for imbalanced data in regression by 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. …”

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. …”

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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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.…”

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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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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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.…”

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

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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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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images by Zahoor Ahmad (358103)

“…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. …”

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. …”

Optimization of the Energy Performance in the Hospitality Sector in UAE by Using the Integrated Control Methodology in the Guestrooms by AlFaris, Fadi

“…This research focuses on developing several criteria such as; the hotel’s gross floor area, star classification, building age, occupancy rate, guestrooms number, construction code and regulation and cooling energy source, to appraise the hotel building energy consumption with, by gathering a real energy data and basic building information, normalization of energy use index and analyze these data statistically to ascertain the expected energy performance and consumption in UAE. …”
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