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

“…An average classification rate of 87% is reported.…”
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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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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.…”

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)

Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding by 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 by 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. …”

Predicting split decisions of coding units in HEVC video compression using machine learning techniques by 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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Data Embedding in Scrambled Video by Rotating Motion Vectors by Ahmed, Afaf Eltayeb Mohamedelbagir

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Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI by 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 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.…”

Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by 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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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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Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model by 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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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks by Sawsan S. Sayed (16896414)

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

HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors by 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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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)

“…<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. …”

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

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