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Showing 101 - 120 results of 884 for search '(( greater decrease ) OR ((( (amer OR (less OR (deed OR deep))) increase ) OR ( peer decrease ))))*', query time: 0.15s Refine Results
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    Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

    Published 2024
    “…<p dir="ltr">In today’s digital era, the escalating phenomenon of cyberbullying is a pervasive and growing concern. With the increasing prevalence of social media platforms, such as Twitter, online abusive behavior has become a significant issue that often leads to unpleasant experiences for users. …”
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    Decoding silent speech: a machine learning perspective on data, methods, and frameworks by Adiba Tabassum Chowdhury (19444792)

    Published 2025
    “…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …”
  8. 108

    Intelligent scaling for 6G IoE services for resource provisioning by Abdullah Alharbi (4173502)

    Published 2021
    “…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …”
  9. 109

    Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data by Alaa Awad Abdellatif (17151163)

    Published 2022
    “…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …”
  10. 110

    Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

    Published 2023
    “…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”
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    Evaluating machine learning technologies for food computing from a data set perspective by Nauman Ullah Gilal (17302714)

    Published 2023
    “…Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. …”
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    A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury by Muhammad Hamza Shuja (19748620)

    Published 2024
    “…Our findings indicated that early prophylaxis significantly reduced the incidence of VTE, deep vein thrombosis (DVT), pulmonary embolism (PE), and overall mortality when compared to late administration. …”
  15. 115

    A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory by Mehdi Asadi (12566741)

    Published 2025
    “…<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. …”
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    Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

    Published 2023
    “…<div><p>Recently, the global food supply chain has become increasingly complex, and its scalability has grown. …”
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    TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images by Tawsifur Rahman (14150523)

    Published 2024
    “…Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …”
  19. 119

    Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices by Neder Karmous (19743430)

    Published 2024
    “…These are considered to be an increasing trend, and it will be a major challenge to reduce risk, especially in the future. …”
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