A clustering metaheuristic for large orienteering problems حسب Almiqdad Elzein (13141038)

"…The Orienteering Problem is a challenging NP-hard problem, such that obtaining optimal or near optimal solutions usually requires a significant amount of computation for large and even moderately large instances. …"

A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems حسب Raka Jovanovic (17947838)

"…The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. To be able to solve large problem instances corresponding to real-world applications of the model, a metaheuristic approach is investigated. …"

Real estate market trends in the first new urbanist town: seaside, Florida حسب Khalida Lifam Marthya (18877738)

LCDnet: a lightweight crowd density estimation model for real-time video surveillance حسب Muhammad Asif Khan (7367468)

"…<p dir="ltr">Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks (CNN) have been published in the last few years. …"

A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events حسب Samuel Mathew, Sujith

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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

"…However, they lack practicality for real-time pedestrian lane detection due to non-optimal accuracy, speed, and model size trade-off. …"

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise حسب Shams Nafisa Ali (17949191)

"…Training is done using a large benchmark PCG dataset mixed with physiological noise, i.e., breathing sounds. …"

Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study حسب Husham Abdelrahman (768893)

"…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …"

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

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

OSRA Grant Cycle 5 Public Reports : Project Title: Coping with prenatal bereavement and perceived stress in current pregnancy: correlates to parental perception of the child and bo... حسب Pia Tohme Khalaf (17425551)

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI حسب Md. Faysal Ahamed (21842396)

"…Addressing these issues, we extensively employed various configurations of the state-of-the-art YOLOv8 (n-nano, s-small, m-medium, l-large, and x-extra-large) models for effective polyp localization. …"

PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition حسب Marwa Qaraqe (10135172)

"…Experiment analysis and real-time inference using DeepStream Software Development Kit (SDK) proved that the proposed system has significant implications for public safety, security, and crowd management in various contexts, including public spaces, transportation hubs, and large-scale events.…"

Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data حسب Aftab Alam (5158601)

"…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. …"

Sleeping habits during COVID-19 induced confinement: A study from Jordan حسب Mahmoud A. Alomari (14780446)

"…In addition, gender (p < 0.001) is an independent predictor of nighttime sleeping. Being a male is associated with a “decrease” and being a female is associated with an “increase” in nighttime sleeping hours (p < 0.05). …"

SBA-XACML حسب Mourad, Azzam

"…Policy-based computing is taking an increasing role in providing real-time decisions and governing the systematic interaction among distributed Web services. …"
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Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women حسب Issa, Yara

"…However, social media use was not significantly associated with orthorexia. Regression analyses showed that both social media use (p<0.001) and having a social media account (p=0.023) were predictors of reduced intuitive eating, with social media use being the most significant predictor. …"
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Scheduling IoT Requests to Minimize Latency in Fog Computing حسب Alikarar, Mazin Abdelbadea Nasralla

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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection حسب ALATTAR, FUAD ABDELWAHAB ABDELQADER

"…Subsequently, the selected classifier is applied on a real-life large Twitter dataset, which includes around two million tweets, to extract positive/negative/neutral sentiments. …"
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Set-based approach for efficient evaluation and analysis of XACML policies. (c2014) حسب Jebbaoui, Hussein M.

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