Search alternatives:
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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_ fold » _ food (Expand Search), 5 fold (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (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 large » _ large (Expand Search)
_ fold » _ food (Expand Search), 5 fold (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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Conformational Role of Methyl in the Potency of Cyclohexane-Substituted Squaramide CCR6 Antagonists
Published 2025Subjects: -
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Conformational Role of Methyl in the Potency of Cyclohexane-Substituted Squaramide CCR6 Antagonists
Published 2025Subjects: -
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Conformational Role of Methyl in the Potency of Cyclohexane-Substituted Squaramide CCR6 Antagonists
Published 2025Subjects: -
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PCA-CGAN K-fold experiment table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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PCAECG-GAN K-fold experiment table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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