Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects حسب 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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Visual Sentiment Analysis from Disaster Images in Social Media حسب 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 حسب Nasar, Nabeel

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Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model حسب Serag, Yousef

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Challenges and practices identification in complex outsourcing relationships: A systematic literature review حسب Ghulam Murtaza Khan (12024573)

"…Furthermore, when compared to other types of outsourcing, complex outsourcing is extremely difficult because it necessitates a variety of control and coordination mechanisms for project management, which proportionally increases the risk of project failure. In order to overcome the failure of projects in complex outsourcing relationships, there is a need of robust systematic research to identify the key challenges and practices in this area. …"

Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP حسب Abdelhafez, Nada

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Robust Prediction of Wildfire Spread in Australia حسب Michael Palk (17947841)

Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings حسب Siyam, Nur

"…Learners with special education needs and disabilities (SEND) require attention from a large set of a care team that includes parents, teachers, specialists, therapists, and doctors. …"
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Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar حسب Dalal Al‐Sharshani (19479814)

"…<h3>Background</h3><p dir="ltr">Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD).</p><h3>Objective</h3><p dir="ltr">The study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) with dyslipidemia and increased susceptibility risks of CVD, NAFLD, and/or T2DM in dyslipidemia patients in comparison with healthy control individuals from the Qatar genome project.…"

Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks حسب Almadani, Nouf Ahmad

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In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks حسب Dweek, Samaa

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Electrochemical Studies on the Corrosion Behavior of Common Metals in Eutectic Ionic Liquids حسب Alhasan, Rami

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Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu حسب Ayesha Atif (22155133)

The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

Decoding silent speech: a machine learning perspective on data, methods, and frameworks حسب Adiba Tabassum Chowdhury (19444792)

"…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …"

Intelligent scaling for 6G IoE services for resource provisioning حسب Abdullah Alharbi (4173502)

"…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …"

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data حسب Alaa Awad Abdellatif (17151163)

"…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …"

Evaluating machine learning technologies for food computing from a data set perspective حسب Nauman Ullah Gilal (17302714)

"…We collected and reviewed more than 100 papers related to the usage of machine learning and deep learning for food computing tasks. We analyze their performance on publicly available state-of-art food data sets and their potential for usage in multimedia food-related applications for various needs (communication, leisure, tourism, blogging, reverse engineering, etc.). …"

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities حسب Md Golam Morshed (19420537)

"…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …"

A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury حسب Muhammad Hamza Shuja (19748620)

"…Our findings indicated that early prophylaxis significantly reduced the incidence of VTE, deep vein thrombosis (DVT), pulmonary embolism (PE), and overall mortality when compared to late administration. …"