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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Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review by Najlaa Essa A. H. Al‐Mannai (21841775)

“…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …”

Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 by Mokdad, Ali H

“…However, diarrhoeal diseases were the leading cause of death in Somalia (186·7 deaths per 100 000 people) in 2013, which decreased by 26·9% since 1990. …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

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The Effect of Experimental Recuperative and Appetitive Post-lunch Nap Opportunities, With or Without Caffeine, on Mood and Reaction Time in Highly Trained Athletes by Mohamed Romdhani (9606357)

“…<h3>Purpose</h3><p dir="ltr">To investigate the effects of placebo (PLA), 20 min nap opportunity (N20), 5mg·kg⁻¹ of caffeine (CAF), and their combination (CAF+N20) on sleepiness, mood and reaction-time after partial sleep deprivation (PSD; 04h30 of time in bed; <i>study 1</i>) or after normal sleep night (NSN; 08h30 of time in bed; <i>study 2</i>).…”

Predicting COVID-19 in the UAE Using Machine Learning by Sankalpa, Donthi

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A 28 nm CMOS 10 bit 100 MS/s Asynchronous SAR ADC with Low-Power Switching Procedure and Timing-Protection Scheme by Fang Tang (116243)

“…A single-side-fixed technique is utilized to reduce the number of capacitors; a parallel split capacitor array in combination with a partially thermometer coded technique can minimize the switching energy, improve speed, and decrease differential non-linearity (DNL). In addition, a compact timing-protection scheme is proposed to ensure the stability of the asynchronous SAR ADC. …”

Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Dir... by Naveed Ahmed (2433958)

“…Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. Recently advanced approaches such as deep learning (DL) and machine learning (ML) have been implemented in SDN-based NIDS to overcome the security issues within a network. …”

3D Printing Technology Utilizing Available Construction Materials in the UAE by Ahmed, Sara Khaled

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Did the periodic intensification of routine immunisation strategy (Intensified mission Indradhanush) reduce the demand for pediatric antibiotic formulations in India? by Habib Hasan Farooqui (7861166)

“…Interestingly, Trimethoprim sales increased by 17.1% in the first month but decreased by 0.4% per month (IRR 0.959, 95%CI 0.945–0.973) post-intervention. …”

Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection by Hadid, Abdenour

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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners by Mehdi Mohammadi (5024105)

“…This increase is 82% less than the 11.3 increase seen in the baseline model. …”

Global time differences in road traffic injuries among children and adolescents between and 1990 and 2013: Regional and economical perspectives from global burden of diseases study by Uzma Rahim Khan (19794408)

“…To highlight changes over time in RTI mortality among children and adolescents VRU and non-VRU globally, by region, and by country income level between 1990 and 2013. …”

Accelerating Care: Enhancing Patient Satisfaction through a Quality Initiative in the Obstetrics and Gynaecology Emergency Department at Al Wakra Hospital, Qatar by Lolwa Al Ansari (18466227)

“…<h3>Background</h3><p dir="ltr">Al Wakra Hospital's Obstetrics and Gynaecology Emergency Department (OB ED) faced challenges of overcrowding, and prolonged wait times. To address these issues and enhance the overall departmental efficiency, a novel approach was implemented to tackle throughput challenges as part of a Quality Improvement project to reduce overall patients’ waiting times in the OB ED from 35 minutes in 2020 to 28 minutes by 2023. …”

Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects by A. Al Shamsi, Arwa

“…Then, an ensemble stacking model was introduced to combine the best-performing deep learning models used in this study. The ensemble stacking deep learning model consisted of deep learning models with a meta learner layer of classifiers. …”
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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization by Muhammad Salman Khan (7202543)

“…Additionally, it reduces the required training data by 39 times, training time by 36 times, model size by 6 times, real time factor (RTF) by 1 point, and multiply-accumulate operations (MACs) by 9 times compared to a recently proposed lightweight transformer-based encoder-decoder framework, while offering a slight decrease in PESQ score (by 0.45 points).…”

Visual Sentiment Analysis from Disaster Images in Social Media by Syed Zohaib Hassan (18387129)

“…<div><p>The increasing popularity of social networks and users’ tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content have opened new opportunities and challenges in sentiment analysis. …”

Blood Glucose Regulation Modelling and Intelligent Control by Nasar, Nabeel

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