A New Dataset for Forged Smartphone Videos Detection: Description and Analysis by Younes Akbari (16303286)

Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

“…VHDRA provides the following functionalities: (1) it vertically reduces the dataset features by selecting the most significant features and by reducing the NNGE’s hyperrectangles. (2) It horizontally reduces the size of data while preserving original key events and patterns within the datasets using an approach called STEM, State Tracking and Extraction Method. …”

Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

“…<p dir="ltr">Phishing emails continue to pose a significant threat, causing financial losses and security breaches. …”

Causes of Delay in Construction Projects in Oil and Gas Construction Industry by FANOUSSE, MARWA IMAD

“…Issues related to client performance included bureaucracy and late honouring of certificates. Secondary causes such as rework, the rate of productivity, dispute management and delay analysis were also found to have great significance. …”
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Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd... by Katherine R Paulson (8674293)

“…NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. …”

Investigating the Quality Combined Effect of Root Cause Analysis (RCA) in Quality Management in Manufacturing Firms by ALBLOOSHI, ROUDHA KHALID ABDULLA

“…Implementing a 6KV surge protector for higher-wattage lights significantly reduced defect rates by 0.5%. This improvement led to decreased warranty claims, cost reductions, and enhanced product longevity, ultimately reinforcing the company's commitment to delivering high-quality products that exceed the customer's expectations. …”
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Ensemble deep learning for brain tumor detection by Shtwai Alsubai (15211962)

“…We experiment on an MRI brain image dataset. First, the data is preprocessed efficiently, and then, the Convolutional Neural Network (CNN) is applied to extract the significant features from images. …”

Creating and detecting fake reviews of online products by Joni Salminen (7434770)

“…Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. …”

Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

“…The dialect for each comment was also added. This gives the dataset an advantage since it can be used for other purposes such as sentiment analysis and dialect identification, not just for cyberbullying detection. …”
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Indomethacin as a Rescue Therapy for Patent Ductus Arteriosus in Extremely Premature Infants after Failed Ibuprofen Treatment by Amal Sabouni (17046236)

“…<p dir="ltr">Hemodynamically significant patent ductus arteriosus (hsPDA) is a major cause of neonatal morbidity and mortality in extremely low birth weight (ELBW) infants. …”

A Neighborhood Framework for Resource-Lean Content Flagging by Sheikh Muhammad Sarwar (19517701)

“…Our evaluation results on eight languages from two different datasets for abusive language detection show sizable improvements of up to 9.5 F1 points absolute (for Italian) over strong baselines. …”

Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

Developing a Stochastic Model to Predict Cost Overrun due to the Causes of Projects Delay in Oil Fields Construction Industry by ALKHOORI, KHALID ABDUL MAJEED

“…However, most of the causes of cost overrun were found to follow the Log logistic distribution – a family of distribution associated with projects where the risk increases at the initial phase of the project and decreases later on. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…Moreover, previous research has often overlooked the critical role of identifying which features are important for detection and their impact on outcomes. Traditional methods might not fully capture the significance of individual features. …”

Changes in the burden and underlying causes of heart failure in the Eastern Mediterranean Region, 1990–2019: an analysis of the Global Burden of Disease Study 2019 by Razieh, Hassannejad

“…FindingsIn contrast with the decreasing trend of HF burden globally, EMR showed an increasing trend. …”
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OutPyR: Bayesian inference for RNA-Seq outlier detection by Edin Salkovic (16891479)