Showing 161 - 180 results of 1,234 for search '(((((( five decrease ) OR ( (deep OR did) increase ))) OR ( peer decrease ))) OR ( mean decrease ))', query time: 0.19s Refine Results
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    Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review by Hazrat Ali (421019)

    Published 2023
    “…It provides key insights into how vision transformers complemented the performance of AI and deep learning methods for lung cancer. Furthermore, the review also identifies the datasets that contributed to advancing the field.…”
  4. 164

    Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures by Irfan Ali Kandhro (17541876)

    Published 2023
    “…To address these issues, we propose a deep learning-based novel method to detect cybersecurity vulnerabilities and breaches in cyber-physical systems. …”
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    Identifying Regional Trends in Avatar Customization by Peter Mawhorter (18602944)

    Published 2019
    “…We find that avatar customization correlates with increased social activity, and we are able to identify distinct visual trends among the U.S.…”
  8. 168

    Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

    Published 2025
    “…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …”
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  9. 169

    YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images by Prabu Selvam (22330264)

    Published 2025
    “…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …”
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    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). …”
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    Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study by Fahad M. Alshagathrh (19365478)

    Published 2023
    “…Problem Statement: This study aims to evaluate deep learning methods for binary classification of hepatic steatosis using ultrasound images. …”
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    Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

    Published 2024
    “…<p dir="ltr">Advancement of the Internet has increased security risks associated with data protection and online shopping. …”
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    LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

    Published 2025
    “…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …”
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    Image Steganography: A Review of the Recent Advances by Nandhini Subramanian (16896453)

    Published 2021
    “…The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. …”
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    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …”
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    1787 evaluation of transperineal prostatic administration of a PSA-activasted protoxin (PRX302) in men with luts secondary to BPH by Elhilali, Mostafa

    Published 2010
    “…In the Phase I study, mean IPSS showed a decrease of 6.5 points (34%), mean QoL a decrease of 2 points (44%) and mean prostate volume a decrease of 5.5 cc (13%) at 12-months compared to screening. …”
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