Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”

A Maturity Model to Assess Organization’s Readiness to Adopt a Sustainable Business Model by Awwad, Mohamed Aly

“…Organizations’ Business Model (BM) plays a significant role in the world’s economy, society, and environment. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…The Self-DSNet model demonstrated an impressive accuracy of 94.23% when using vision-based data alone. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

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. …”

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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Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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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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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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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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A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

Transcriptome Profile Identifies Actin as an Essential Regulator of Cardiac Myosin Binding Protein C3 Hypertrophic Cardiomyopathy in a Zebrafish Model by Sahar Isa Da’as (18288880)

“…Furthermore, heart transcriptome profiling showed a significant downregulation of the actin-filament-based process, indicating an impaired actin cytoskeleton organization as the main dysregulating factor associated with the early ventricular cardiac hypertrophy in the zebrafish mypbc3 HCM model.…”