Epigenetic Regulations of Cancer Stem Cells by the Aryl Hydrocarbon Receptor Pathway by Sabah, Akhtar

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Critical Appraisal of the Clinical Practice Guidelines for the Management of Dyslipidaemias: Lipid Modification to Reduce Cardiovascular Risk: European Society of Cardiology (ESC) and European Atherosclerosis Society (ESC/EAS) 2019 Guidelines by Eman N Alhmoud (20352048)

“…</p><h3>Method</h3><p dir="ltr">The 2019 European Society of Cardiology and European Atherosclerosis Society Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk was appraised and scored for methodological rigour and transparency by 5 independent appraisers using a validated tool.…”

ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification by Md. Iqbal Hossain (723299)

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An Attention-Based ResNet Architecture for Acute Hemorrhage Detection and Classification: Toward a Health 4.0 Digital Twin Study by Aftab Hussain (1385985)

“…The existing pre-trained convolutional neural network (CNN) models are state-of-the-art for ICH classification. However, they employ poor feature extraction techniques which hinder overall model performance. …”

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network by Nasru Minallah (9427338)

“…<p>This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. …”

AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite by Reda, Mariam

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Effect of Waste Tire Rubber on Properties of Asphalt Cement and Asphalt Concrete Mixtures: State of the Art by Mohammad A. T. Alsheyab (17792600)

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Feature modeling using polynomial classifiers and stepwise regression by Shanableh, Tamer

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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach by El Gohary, Youssef Hesham

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Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study by Yahya, Fares

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This is not new! Spotting previously-verified claims over Twitter by Watheq, Mansour

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Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges by Al Sobbahi, Rayan

“…Fourth, we present a comparative analysis for object detection and classification performance achieved by 4 different object detection models applied on LLIs and their enhanced counterparts. …”
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Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices by Aya Hasan Alkhereibi (17151070)

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The Plate Objective Scoring Tool (POST): Further Reflections and Extended Applications by Tariq O Abbas (18090619)

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The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review by Mahmood Saleh Alzubaidi (18456723)

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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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An Arabic social media based framework for incidents and events monitoring in smart cities by Alkhatib, Manar

Subjects: “…Smart cities Sustainable cities Incident management Social media Arabic language Text classification…”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks by S. N. V. Bramareswara Rao (21768302)

“…<p dir="ltr">Microgrid control and operation depend on fault detection and classification because it allows quick fault separation and recovery. …”

EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Badr, Yara

“…PDC connectivity showed a shift to the temporal region during mitigation, indicating a return to a more balanced state. GCN classification achieved accuracies of 76.43 ± 9.01% and 76.32 ± 7.79% for each group, and 76.37 ± 8.40% for a common baseline. …”
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