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latest decrease » largest decrease (Expand Search), greatest decrease (Expand Search), largest decreases (Expand Search)
12 decrease » 026 decrease (Expand Search), _ decrease (Expand Search), nn decrease (Expand Search)
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a latest » a latent (Expand Search), _ latest (Expand Search), _ latent (Expand Search)
_ 12 » _ 2 (Expand Search), _ 1 (Expand Search), _ 10 (Expand Search)
latest decrease » largest decrease (Expand Search), greatest decrease (Expand Search), largest decreases (Expand Search)
12 decrease » 026 decrease (Expand Search), _ decrease (Expand Search), nn decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a latest » a latent (Expand Search), _ latest (Expand Search), _ latent (Expand Search)
_ 12 » _ 2 (Expand Search), _ 1 (Expand Search), _ 10 (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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Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs.
Published 2024“…<p>Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs.…”
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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. …”
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(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 experiment.
Published 2025“…<p>(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 experiment.…”
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