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“Cost-Accuracy” Hedging Based Load Forecasting Technique on Two-Stage Electricity Market
Published 2020-10-01Get full text
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Immune status assessment based on plasma proteomics with meta graph convolutional networks
Published 2025-04-01Get full text
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Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings
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STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition
Published 2025-07-01Get full text
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Deriving experimental constraints on the scalar form factor in the second-class $\tau \to\eta \pi \nu$ mode
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Fluorescence Lifetime Imaging of NAD(P)H in Patients’ Lymphocytes: Evaluation of Efficacy of Immunotherapy
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In-silico analysis of deleterious non-synonymous SNPs in the human AVPR1a gene linked to autism
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Research on Universal Time/Length of Day Combination Algorithm Based on Effective Angular Momentum Dataset
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Mechanical positioning of multiple nuclei in muscle cells.
Published 2018-06-01Get full text
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Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications
Published 2025-07-01“…In contrast, the Swin transformer showed single-model (macular), single-model (optic disk), and multimodel average accuracies of 82.25%, 74.936%, and 85.06%, respectively, for predicting hypertension.ConclusionThe changes caused by hypertension on the fundus vessels can be observed more accurately and efficiently using OCTA image features through deep learning. …”
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Effects of scale on segmentation of Nissl–stained rat brain tissue images via convolutional neural networks
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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises
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