A New Dataset for Forged Smartphone Videos Detection: Description and Analysis حسب Younes Akbari (16303286)

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset حسب Muhammad Usama Tanveer (22225360)

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

"…VHDRA provides the following functionalities: (1) it vertically reduces the dataset features by selecting the most significant features and by reducing the NNGE’s hyperrectangles. (2) It horizontally reduces the size of data while preserving original key events and patterns within the datasets using an approach called STEM, State Tracking and Extraction Method. …"

Novel interpretable and robust web-based AI platform for phishing email detection حسب Abdulla Al-Subaiey (19757007)

"…<p dir="ltr">Phishing emails continue to pose a significant threat, causing financial losses and security breaches. …"

A clustering metaheuristic for large orienteering problems حسب 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. …"

Hedonic valuation of land protection methods: implications for cluster development. حسب 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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A Neighborhood Framework for Resource-Lean Content Flagging حسب Sheikh Muhammad Sarwar (19517701)

"…Our evaluation results on eight languages from two different datasets for abusive language detection show sizable improvements of up to 9.5 F1 points absolute (for Italian) over strong baselines. …"

Ensemble deep learning for brain tumor detection حسب Shtwai Alsubai (15211962)

"…We experiment on an MRI brain image dataset. First, the data is preprocessed efficiently, and then, the Convolutional Neural Network (CNN) is applied to extract the significant features from images. …"

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

"…Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. …"

Food fraud detection using explainable artificial intelligence حسب Okan Buyuktepe (17991493)

Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…The dialect for each comment was also added. This gives the dataset an advantage since it can be used for other purposes such as sentiment analysis and dialect identification, not just for cyberbullying detection. …"
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Explainable phishing website detection for secure and sustainable cyber infrastructure حسب Tanzila Kehkashan (20748842)

"…To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. A dataset with over 11000+ URLs and 30 varied features of the ”Phishing Website Detection” was applied from the Kaggle repository. …"

Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …"
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Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey حسب Somaya Eltanbouly (22565864)

"…Using insights from the literature and additional experiments conducted on the CICIDS-2017 dataset, we assessed each representation not only in terms of its ability to enhance detection performance but also in terms of computational efficiency. …"

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

"…The Filtered-LDA Model is tested first on a Ground Truth dataset to validate that it outperforms baseline models, then it is finally applied on the large Twitter dataset to automatically conclude main reasons for sentiment variations…"
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Classification and segmentation of kidney MRI images for chronic kidney disease detection حسب Md. Sakib Bin Islam (20494559)

"…<p>Chronic Kidney Disease (CKD) is a common ailment with significant public health implications, underscoring the critical importance of early detection and diagnosis for effective management. …"

Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

"…The widespread engagement with social media platforms in recent years has made cyberbullying a significant concern. Individuals may have catastrophic side effects from that as well, including despair, anxiety, and even suicide. …"
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Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM حسب Sayanti Chatterjee (1311438)

"…Comprehensive experiments conducted on synthetic and real-world datasets validate the framework’s effectiveness, demonstrating superior detection accuracy, robustness to noise, and resilience against cyber-attacks. …"

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection حسب Shakeel Ahmad (702854)

"…The novelty of this research lies in providing a roadmap for researchers, practitioners, and cybersecurity experts to navigate the landscape of machine learning (ML) and deep learning (DL) models for phishing detection. The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. …"