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marked decrease » marked increase (Expand Search)
years decrease » year increase (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
map decrease » mean decrease (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
marked decrease » marked increase (Expand Search)
years decrease » year increase (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
map decrease » mean decrease (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
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Thematic clouds for lectures.
Published 2025“…In addition, six national indicators that could determine the quantity and quality of scientific production were obtained from the Our World in Data website with regard to the countries that made the greatest contributions to the AAO annual sessions. …”
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Thematic cloud for posters [2013-23].
Published 2025“…In addition, six national indicators that could determine the quantity and quality of scientific production were obtained from the Our World in Data website with regard to the countries that made the greatest contributions to the AAO annual sessions. …”
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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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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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