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    Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

    Published 2025-01-01
    “…A set of synthetically generated datasets concerning all three classes with two to three levels of degradation severity is considered for training the proposed deep learning model along with the real images labelled based on reference datasets. …”
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  4. 4984

    Antiseizure medication prescribing in people with Dravet syndrome: An analysis of real‐time administrative data by Kevin Y. Xu, Binx Yezhe Lin, M. Scott Perry, Fábio A. Nascimento

    Published 2025-02-01
    “…We analyzed the TriNetX Network, a real‐time electronic health record‐based dataset linked to prescription data encompassing all 50 states of the U.S. …”
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    FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

    Published 2025-01-01
    “…The proposed MLP model classified the FashionMNIST dataset at a speed of 953 kFPS with 1019 GOPs while consuming 2.05 W.…”
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    Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients by Zihan Zhu, Rui Geng, Yixin Zhang, Jinhui Liu, Jianling Bai

    Published 2023-01-01
    “…First, 117 ERGs in The Cancer Genome Atlas (TCGA) dataset were recognized. Afterwards, the risk signature consisting of four ERGs with prognostic significance was built by univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis. …”
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    Investigation of the association between circulating inflammatory proteins and encephalitis risk in Europeans by two-sample Mendelian randomization analysis by Yanwei Liu, Xilong Wang, Qiang Zhao, Jun Wei, Shiqiang Yang

    Published 2025-02-01
    “…The data source for encephalitis was the latest Finngen_R12 dataset, released in 2024. The study investigated causal effects mainly using Steiger, MR-Egger, weighted median and inverse variance weighting (IVW) methods. …”
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    Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

    Published 2025-01-01
    “…Experiments on a clinical AS-OCT-NC dataset demonstrate that the proposed framework not only achieves competitive performance through comparisons with DNNs, but also has a good explanation ability, meeting the requirements of clinical diagnostic practice.…”
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