Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

The Impact of Inquiry-based Learning on the Critical Thinking of high School Students by AZZAM, LILIAN ABDELNASSER

“…Explanatory sequential mixed-methods approach was utilized in the current study in which the data are collected and analyzed quantitatively first, and then qualitative data were collected in order to fully explain the quantitative data results The current study found that inquiry-based learning approach has a statistically significant positive impact on the high school students’ critical thinking in where the independent T-test results were for t (90) = 7 with a P value equals to 0.000 ˂ 0.05. …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems by Faria Nawshin (21841598)

“…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …”

GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”

When Should a Brain MRI Be Performed in Children with New-Onset Seizures? Results of a Large Prospective Trial by Hourani, R.

“…The presence of developmental delay and seizure type at presentation remained significant in a multivariate analysis. CONCLUSIONS: We documented a relatively high rate of epileptogenic lesions in children with new-onset seizures, with the presence of developmental delay and specific seizure types being associated with a higher likelihood of detecting an epileptogenic lesion on neuroimaging. …”
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Physical Asset Management for Critical Utilities— A Systematic Literature Review by Alquraidi, Alya

“…This study attempts to provide a systematic review of recent literature focused on the asset management of utilities, including asset lifecycle stages and management models. Based on the review, several research gaps that warrant further investigation is highlighted and verified by subject matter experts. …”
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The effectiveness of physical models in teaching anatomy by Yammine, Kaissar

“…The aim of this meta-analysis is to quantitatively assess the effectiveness of such models based on comparative studies. Eight studies (7 randomized trials; 1 quasi-experimental) including 16 comparison arms and 820 learners met the inclusion criteria. …”
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A Neighborhood Framework for Resource-Lean Content Flagging by Sheikh Muhammad Sarwar (19517701)

“…The framework is based on a nearest-neighbor architecture. It is a modern instantiation of the vanilla k-nearest neighbor model, as we use Transformer representations in all its components. …”

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”

Degree-Based Network Anonymization by Halawi, Ola

“…Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …”
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Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain by Mohamed H. M. Ali (5768066)

“…</p><p dir="ltr"><br></p><h3>Results</h3><p dir="ltr">The FTIR results revealed that in the lesioned gray matter the relative distribution of lipid, lipid acyl and protein contents decreased significantly. Also at this locus, there was a significant increase in aggregated protein as detected by high-levels Aβ1-42. …”

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

DNA Base-Calling Techniques by Odeh, Fadi

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An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

“…Three research objectives were formulated based on this model, with subsequent sections providing results and explanations. …”
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Trade Flow and Nation Brand Distance: A Structural Gravity Model Approach by AL BESHER, HUDA ISMAIL

“…The results on the impact of NBD on FTA and trade flows provides some interesting insights as the there is a negative and significant moderation impact of NBD on the relationship between FTA and both export and import volume which suggest that a decrease of NBD will increase the effect of FTA on trade flow. …”
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Statistical Modelling and Correlation of Membrane Distillation Data by Hamdoon, Azza

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Model predictive control of shell benchmark process by Amjad, S.

“…Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. …”
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Development and Validation of the Motivation for Tutoring Questionnaire in Problem-Based Learning Programs by Salah Eldin, Kassab

“…The scores from the 21-item questionnaire demonstrated acceptable fitness indices between the measurement model and the factor structure. Furthermore, the three tutoring motivation subscales demonstrated high internal consistency reliability, significantly correlated with each other and correlated with the self-rated tutoring skills scores. …”
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Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System by B. Rouabah (17947820)