A clustering metaheuristic for large orienteering problems by 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 by Raka Jovanovic (17947838)

“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”

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

LCDnet: a lightweight crowd density estimation model for real-time video surveillance by 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 by Samuel Mathew, Sujith

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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”

MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by 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 by Shams Nafisa Ali (17949191)

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

Preparation of Mesoporous/Microporous MnCo₂O₄ and Nanocubic MnCr₂O₄ Using a Single Step Solution Combustion Synthesis for Bifunction Oxy... by Anchu Ashok (14152020)

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

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

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI by 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 by 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.…”

A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”

SBA-XACML by 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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Scheduling IoT Requests to Minimize Latency in Fog Computing by Alikarar, Mazin Abdelbadea Nasralla

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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by 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) by Jebbaoui, Hussein M.

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PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad (19997799)

“…Designed for scalability, PermGuard can handle large and continuously growing datasets, making it suitable for real-world applications. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

“…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…”