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Showing 221 - 225 results of 225 for search '(((( complement based algorithm ) OR ( elements per algorithm ))) OR ( levels using algorithm ))', query time: 0.07s Refine Results
  1. 221
    Towards Multimedia Fragmentation

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
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  2. 222
    Data Redundancy Management in Connected Environments

    Data Redundancy Management in Connected Environments by Mansour, Elio

    Published 2020
    “…To address these limitations, we propose a framework for data redundancy management at the device level, denoted DRMF. We describe its modules, and clustering-based algorithms. …”
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  3. 223
    Triage decisions for ICU admission

    Triage decisions for ICU admission by Blanch, Lluis

    Published 2016
    “…The team made recommendations and concluded that triage should be led by intensivists considering input from nurses, emergency medicine professionals, hospitalists, surgeons, and allied professionals. Triage algorithms and protocols can be useful but can never supplant the role of skilled intensivists basing their decisions on input from multidisciplinary teams. …”
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  4. 224
    Data redundancy management for leaf-edges in connected environments

    Data redundancy management for leaf-edges in connected environments by Mansour, Elio

    Published 2022
    “…To address these limitations, we propose here DRMF: Data Redundancy Management for leaF-edges allowing to identify and remove data redundancies in connected environments at the device level. DRMF considers both static and mobile edge devices, and provides two algorithms for temporal and spatio-temporal redundancy detection. …”
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  5. 225
    Optimising Nurse–Patient Assignments: The Impact of Machine Learning Model on Care Dynamics—Discursive Paper

    Optimising Nurse–Patient Assignments: The Impact of Machine Learning Model on Care Dynamics—Discursive Paper by Mutaz I. Othman (21186827)

    Published 2025
    “…</p><h3>Methods</h3><p dir="ltr">A discursive approach was used to optimise nurse–patient assignments and the impact of ML models. …”
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