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An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition
Published 2024-01-01Get full text
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18F-FDG dose reduction using deep learning-based PET reconstruction
Published 2025-07-01Subjects: Get full text
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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle
Published 2025-08-01“…With SC support, the EUDC cycle exhibits a 21.3% reduction in battery peak current, 18.1% reduction in peak power demand, and 5.75% lower battery energy consumption. …”
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Deep learning-based CAD system for Alzheimer’s diagnosis using deep downsized KPLS
Published 2025-05-01Get full text
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CLCluster: A redundancy-reduction contrastive learning-based clustering method of cancer subtype based on multi-omics data
Published 2025-06-01“…Here, we propose a redundancy-reduction contrastive learning-based method (CLCluster) based on copy number variation, methylation, gene expression, miRNA expression, and AS for cancer subtype clustering of 33 cancer types. …”
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DeepOmicsSurv: a deep learning-based model for survival prediction of oral cancer
Published 2025-04-01“…This study aims to propose a deep learning-based model, DeepOmicsSurv, to predict survival in oral cancer patients using clinical and multi-omics data. …”
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Design of a Machine Learning-Based Platform for Currency Market Prediction: A Fundamental Design Model
Published 2025-01-01Get full text
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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer
Published 2025-01-01“…Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed tomography (CT) images, which have a complex structure and can contain strong artifacts due to the insertion of dental fillings and implants. …”
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The Implementation of Archive Learning Based on the Kurikulum 2013
Published 2019-06-01“…The data analysis using interactive analysis by Miles and Huberman consists of data collection, data reduction (data reduction), data presentation (data display) and conclusions (conclusions / verification). …”
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Machine Learning-Based Predictive Maintenance for Photovoltaic Systems
Published 2025-06-01Get full text
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Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly
Published 2025-03-01Get full text
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Confident Learning-Based Label Correction for Retinal Image Segmentation
Published 2025-07-01Get full text
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Deep learning-based GNSS composite jamming detection and recognition technology
Published 2025-04-01Get full text
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