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Showing 541 - 553 results of 553 for search '(( element means algorithm ) OR ((( data models algorithm ) OR ( data processing algorithm ))))', query time: 0.10s Refine Results
  1. 541

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. …”
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    article
  2. 542

    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

    Published 2020
    “…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
  3. 543

    The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns by JA’AROUN, WAED YOUSEF

    Published 2024
    “…However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. …”
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  4. 544

    Efficient XML Structural Similarity Detection using Sub-tree Commonalities by Tekli, Joe

    Published 2007
    “…Developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. Various algorithms for comparing hierarchically structured data, e.g. …”
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    conferenceObject
  5. 545

    Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter by Yahia, Mohamed

    Published 2020
    “…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. …”
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    article
  6. 546

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …”
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    masterThesis
  7. 547
  8. 548

    A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies by Farideh Abdollahi (22303153)

    Published 2024
    “…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …”
  9. 549

    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions by Al-Tayyan, Amer

    Published 2017
    “…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …”
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  12. 552

    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

    Published 2023
    “…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”
  13. 553

    Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies by Jebbaoui, Hussein

    Published 2015
    “…First, our approach resolves the complexity of policies by elaborating an intermediate set-based representation to which the elements of XACML are automatically converted. Second, it allows to detect flaws, conflicts and redundancies between rules by offering new mechanisms to analyze the meaning of policy rules through semantics verification by inference rule structure and deductive logic. …”
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