Showing 1 - 20 results of 110 for search '(((( cloud ((small decrease) OR (_ decrease)) ) OR ( _ nn decrease ))) OR ( ai larger decrease ))', query time: 0.61s Refine Results
  1. 1
  2. 2

    HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

    Published 2025
    “…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    The impact of the sulfur allotropes and sulfur hydrides on the Venus cloud chemistry by Maxence LEFEVRE (5214737)

    Published 2025
    “…<p dir="ltr">Data from the paper <i>The impact of the sulfur allotropes and sulfur hydrides on the Venus cloud chemistry</i></p><p dir="ltr">The outputs are netcdf files one timestep of the different test cases:<br>- Ref.nc: the reference case with the saturation mixing ratio from Zahnle et al., (2016), the update UV cross-section and a radius of .1 µm for the condensed allotropes.…”
  16. 16

    The dataset for Aerosol emission reductions cause post-2011 rapid warming in the northwestern Pacific. by Nan Yang (22539191)

    Published 2025
    “…Aerosol-driven ocean warming manifests a five-year lag post-emission reductions, governed by threshold-triggered nonlinear aerosol-cloud interaction where cloud decrease occurs only below critical aerosol thresholds (AOD = 0.2). …”
  17. 17
  18. 18
  19. 19
  20. 20

    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”