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

“…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”

The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…Five critical applications, such as network intrusion detection and malware detection, were identified, and several tasks used in these applications were observed. …”

Hedonic valuation of land protection methods: implications for cluster development. by Kling, Robert

“…The key findings of the study are: (i) proximity to national or state park land and to city or county open space has a significant positive impact on property values, while proximity to national forest land or to privately conserved land exhibits no significant effects; and, (ii) inclusion of a property within a cluster development decreases its value by 17 to 26 %. …”
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Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

“…<p>Authorship discrimination is the task of detecting whether two writings are authored by the same person. …”

Creating and detecting fake reviews of online products by Joni Salminen (7434770)

“…Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. We show that a machine classifier can accomplish this goal near-perfectly, whereas human raters exhibit significantly lower accuracy and agreement than the tested algorithms. …”

Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

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Graphical Insight: Revolutionizing Seizure Detection with EEG Representation by Muhammad Awais (263096)

“…Our experimental results reveal that both models significantly improve seizure detection accuracy, surpassing previous methods. …”

Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…However, unsupervised data mining techniques are reliable in detecting fraud before they happen. For the research, I found out the importance of data mining in detecting fraud in procurement. …”
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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…Utilizing Sentiment Analysis techniques to monitor public opinions on social media has been an essential yet challenging task in the field of Artificial Intelligence (AI). …”
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Leveraging Deep Learning and Word Embeddings to Detect Dish Names in Consumer Reviews by ABOKHASHAN, DEENA YOUNIS

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Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

“…Leveraging computer vision for early disease detection and classification can mitigate up to 90% of production losses. …”

Accessibility first: detecting frustration in web browsing for visually impaired and sighted smartphone users by Yasmin Abdelaal (17773458)

“…Pop-up ads and session timeout are common tasks. Among VI participants, there was no significant difference between frustrating and non-frustrating tasks. …”

Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States by Hassanin, Omnia

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…Additionally, we introduced the GELAN-E (generalized efficient layer aggregation network) model for waste object detection tasks, obtaining a mean average precision (mAP50) of 63%, surpassing other state-of-the-art detection models. …”

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

“…Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. Designing a DNN from scratch is a laborious task that requires significant experience and time. …”

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

“…Our results demonstrate that the PneuX-Net+KNC model achieves a remarkable 99.91% accuracy, highlighting its robustness and reliability in pneumonia classification tasks. This ensemble-driven methodology underscores the potential of machine learning in augmenting clinical decision-making by providing an accurate and automated pneumonia detection framework.…”

This is not new! Spotting previously-verified claims over Twitter by Watheq, Mansour

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Machine Learning Techniques for Detecting Attackers During Quantum Key Distribution in IoT Networks With Application to Railway Scenarios by Hasan Abbas Al-Mohammed (16810674)

“…<p>Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. …”

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …”