Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

“…<h3>Background</h3><p dir="ltr">During the COVID-19 pandemic, there was a surge in pre-hospital emergency calls due to the increased prevalence of flu-like symptoms and panic related to the pandemic. …”

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection by Ahmad Yaser Alhaddad (7017434)

“…Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. …”

FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Mining Student Information System Records to Predict Students’ Academic Performance by ABU SAA, AMJED TARIQ MOHAMMAD

“…An increasing interest has arisen during the past decade to identify the most important factors influencing students’ performance in higher education, especially by using predictive data mining techniques. …”
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An Investigation into the factors influencing Arabic speaking students’ proficiency in the Arabic language in Dubai British School by AL AHMAD, ALAAEDDIN MEHY

“…However, those Arabic-speaking students attending non-Arabic schools become less proficient in the Arabic language and continually fall behind their peers in Arabic schools. This is despite the fact that both groups of students are native Arabic speakers, and that both groups of students attend Arabic classes that use the same curriculum and textbooks. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…<p dir="ltr">Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. …”

Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes by Muhammad Mohsin Khan (22150360)

“…By increasing accuracy across unbalanced classes and emphasizing its potential for practical use, the multi-stage technique presents a promising solution for predicting the severity of SAH. …”

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat... by Merheb, Caroline

“…(3) what is the best soil management system to be implemented in loamy sand agricultural land that is cultivated by apple trees and legumes and vegetables in-between rows to carry water to depths of 40cm faster with less water consumption while maintaining the subsurface moisture for longer periods? …”
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