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Showing 1 - 20 results of 23 for search 'driven selection techniques', query time: 0.08s Refine Results
  1. 1

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …”
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    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…<h3>Background</h3><p dir="ltr">Artificial intelligence (AI)–driven serious games have been used in health care to offer a customizable and immersive experience. …”
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    AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm by Habib Ullah Khan (12024579)

    Published 2025
    “…Our analysis reveals that organizations at Levels 4 and 5 still need to entirely shift to using AI-based protection tools and techniques. The proposed system provides developers and managers with valuable insights, enabling them to select security enhancements tailored to their organization's development stages. …”
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    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

    Published 2022
    “…In this paper, we propose data-driven machine learning (ML) schemes to efficiently solve these problems in wireless LAN (WLAN) networks. …”
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    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …”
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    Cells Derived from Diabetic Patients Selected from a Cohort Study Using a Visual Search Tool (VST) Are Used as Models for Metformin Resistance by Marjan Nouri-Keshtkar (15431001)

    Published 2023
    “…However, by using VST, which provides a user-friendly platform, medical researchers were enabled to perform complex analyses by entering a few queries in a short time; the capability that can be also used for other cohort-driven patient selection studies. By having access to the patient-derived iPSCs, we would be able to differentiate them toward all target cell types such as intestinal epithelial cells and hepatocytes, and explore the differences between different groups at cellular level. …”
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    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

    Published 2025
    “…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…”
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    Formal Verification- and AI/ML-Assisted Radio Resource Allocation for Open RAN Compliant 5G/6G Networks by Tariq Mumtaz (10861635)

    Published 2025
    “…The proposed RRM methodology incorporates formal verification capabilities to generate vast Pareto optimality datasets for specific RAN design parameters, establishing a foundation for rigorous RRM strategy selection. Additionally, the proposed approach enhances data-driven RRM decision-making through the application of unsupervised machine-learning techniques. …”
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    Condition Monitoring and Fault Diagnosis of Wind Turbine: A Systematic Literature Review by Musavir Hussain (20725062)

    Published 2024
    “…The review findings concluded that amongst various condition monitoring techniques, SCADA based data driven approach is most popular as it does not require additional sensors, blade mount cameras, unmanned arial vehicles and a separate data accusation unit. …”
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    QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries by Md Al Amin (17808299)

    Published 2024
    “…This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing <u>sustainability</u> challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. …”
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    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review by Yasir Ali (799969)

    Published 2023
    “…<div><p>Internet of Things (IoT) driven systems have been sharply growing in the recent times but this evolution is hampered by cybersecurity threats like spoofing, denial of service (DoS), distributed denial of service (DDoS) attacks, intrusions, malwares, authentication problems or other fatal attacks. …”
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    Environmental remediation and the efficacy of ceramic membranes in wastewater treatment—a review by Rouzait Jarrar (21768296)

    Published 2024
    “…This review paper provides a comprehensive overview of ceramic membranes, exploring their composition, fabrication techniques, filtration principles, and diverse applications. …”
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    Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

    Published 2025
    “…This article provides an updated review of the cutting-edge machine learning and data-driven techniques used for PGP in networked PSs. To this end, an in-depth exploration of the basic principles of PGP and performance quantification is provided. …”