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large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (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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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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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 2025“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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B2 decreases glycolytic intermediates in cells.
Published 2025“…The box indicates the clustering of decreased downstream glycolytic intermediates in B2-treated cells. …”
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Feasibility of AI-powered assessment scoring: Can large language models replace human raters?
Published 2025“…<b>Method:</b> Thirty-five deidentified BICAMS protocols, including the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test–II (CVLT-II), and Brief Visuospatial Memory Test–Revised (BVMT-R), were independently scored by two trained human raters and ChatGPT-4.5. …”
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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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Structure model predictions of wildtype and A398E/V and M1425V/I Ca<sub>V</sub>3.3 channels.
Published 2025Subjects: