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

"…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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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks حسب 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 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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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)

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

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

"…This challenge is prominent in satellite imagery classification due to the scarcity of data from underrepresented regions such as Africa and Oceania. …"

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

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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. …"

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.…"

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

"…ICD-10 is system physicians and other healthcare providers use to classify and code all diagnoses and symptom records in conjunction with hospital care. …"
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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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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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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images حسب 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. …"

Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning حسب Youssef, Seba

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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. …"