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    Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

    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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    CLCluster: A redundancy-reduction contrastive learning-based clustering method of cancer subtype based on multi-omics data by Hong Wang, Yi Zhang, Wen Li, Zhen Wei, Zhenlong Wang, Mengyuan Yang

    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 by Deepali, Neelam Goel, Padmavati Khandnor

    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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    Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

    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 by Ayunda Dwi Septianingrum, Setyabudi Indartono

    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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