Search alternatives:
market decrease » marked decrease (Expand Search), largest decrease (Expand Search), marked increase (Expand Search)
map decrease » small decrease (Expand Search), step decrease (Expand Search), _ decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a market » _ market (Expand Search), a marker (Expand Search)
i mean » i means (Expand Search), _ mean (Expand Search), a mean (Expand Search)
market decrease » marked decrease (Expand Search), largest decrease (Expand Search), marked increase (Expand Search)
map decrease » small decrease (Expand Search), step decrease (Expand Search), _ decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a market » _ market (Expand Search), a marker (Expand Search)
i mean » i means (Expand Search), _ mean (Expand Search), a mean (Expand Search)
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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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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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Real-world mepolizumab treatment in patients with severe asthma decreased exacerbations, oral corticosteroid use, and healthcare resource utilization and costs over 4 years: a retr...
Published 2025“…</p> <p>Among 189 eligible patients, mean asthma exacerbation rate (AER) declined progressively from baseline during follow-up: AER decreased by 53.8% at Year 1 and 73.8% by Year 4 (<i>p</i> < 0.001). …”
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The technical route of the study.
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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Experimental results in the SubT-MRS dataset.
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. …”