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largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
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grid decrease » gain decreased (Expand Search), fid decreased (Expand Search), fold decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ largest » _ large (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
small decrease » small increased (Expand Search)
grid decrease » gain decreased (Expand Search), fid decreased (Expand Search), fold decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ largest » _ large (Expand Search)
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HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters
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. …”
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Thematic clouds for lectures.
Published 2025“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”
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Study domain with model grid boxes overlaid.
Published 2025“…Solar irradiance resources and PV energy generation generally decrease under SRM compared to RCP4.5. The highest modelled mean change in PV generation across the region is, however, generally small, e.g., a maximum change of for May-July for years corresponding to a world. …”
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Thematic cloud for posters [2013-23].
Published 2025“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”
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Point cloud fusion instance effect.
Published 2025“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”
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