Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Our WBF-based approach combining YOLOv8m and FRCNN-ResNet101 achieves a mean average precision (mAP) score of 86.4% at the IoU threshold of 0.5 on the DFUC2020 dataset, significantly outperforming the former benchmark by 12.4%. …”

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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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. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”

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. …”

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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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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AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists by Fahad Muflih Alshagathrh (18427950)

“…To mitigate distribution shifts across scanners (LOGIQ, iU22, EPIQ), DDANN combines a MobileNetV2 backbone with triplet loss, entropy-based domain adaptation, and preprocessing that includes speckle suppression, percentile normalization, and LOGIQ-specific harmonization. …”

Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat, Zaidan

“…The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
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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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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad, Hadi Ahmad

“…Climate change significantly impacts local, regional, and global vegetation changes. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…It was shown that such a model had comparable accuracy to that of EfficientNet-B3, however, with a significantly smaller number of parameters required by the B3 model. …”

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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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis by Deepti Muley (6579293)

“…Based on 645 survey responses, a Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was used to verify quantitative relationships among law amendment, risk perception, safety effectiveness perception, and pedestrians’ behavioral intentions. …”