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detection dataset » detection based (Expand Search), detection test (Expand Search)
changes » change (Expand Search)
decrease » increase (Expand Search)
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The impact of COVID‐19 pandemic lockdown on smoking habits and lifestyle: A cross‐sectional study
Published 2023“…Most of our sample's smoker participants experienced a change in their smoking level mostly, an increase. …”
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Explainable phishing website detection for secure and sustainable cyber infrastructure
Published 2025“…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. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…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
Published 2023“…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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25
Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey
Published 2025“…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. …”
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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection
Published 2021“…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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Changes in Blood microRNA Expression and Early Metabolic Responsiveness 21 Days Following Bariatric Surgery
Published 2019“…MicroRNA expression was determined by quantitative polymerase chain reaction and tested for significant changes after surgery.</p><p dir="ltr"><br></p><h3>Results: </h3><p dir="ltr">BMI decreased by 3.8 kg/m<sup>2</sup> 21 days postoperatively. …”
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Classification and segmentation of kidney MRI images for chronic kidney disease detection
Published 2024“…<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. …”
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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…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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30
Brain microstructural changes support cognitive deficits in HIV uninfected children born to HIV infected mothers
Published 2020“…ResultsHIC and HUC groups showed significantly decreased NP test scores in various domain compared to CHNM. …”
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Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM
Published 2025“…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. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Published 2024“…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. …”
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
Published 2023“…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …”
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Biomolecular changes and subsequent time-dependent recovery in hippocampal tissue after experimental mild traumatic brain injury
Published 2021“…Band area and intensity ratios, band frequency and bandwidth values of specific spectral bands showed that TBI causes significant structural and contextual global changes including decrease in carbonyl content, unsaturated lipid content, lipid acyl chain length, membrane lipid order, total protein content, lipid/protein ratio, besides increase in membrane fluidity with an altered protein secondary structure and metabolic activity in hippocampus 24 h after injury. …”
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Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …”
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How effective are synthetic attack models to detect real-world energy theft?
Published 2025“…However, available datasets lack annotated real anomalies, which poses significant challenges in developing effective detection systems. …”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection performance. …”