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    Regional Mapping of Small‐Scale Equatorial Ionospheric Irregularities Using Swarm Echo Satellite Measurements by Ali Mohandesi, David J. Knudsen, Susan Skone, Richard B. Langley, Andrew W. Yau

    Published 2023-06-01
    “…In situ measurements of net current onto the external surface of the Imaging and Rapid‐scanning Ion Mass Spectrometer sensor on board Swarm Echo were utilized to quantify plasma density fluctuations. …”
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  4. 5244

    Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease. by Syed Mohsin Bokhari, Sarmad Sohaib, Muhammad Shafi

    Published 2025-01-01
    “…Comparative analysis against state-of-the-art methods-such as CNN, ResNet, and attention-based RNNs-indicate that FLPMDP consistently outperforms current models in accuracy, sensitivity, and robustness when facing non-IID data conditions. …”
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    Economic profitability and efficiency of honey production from the Asian honeybee (Apis cerana) in the mid-hills of Nepal by Anup Paudel, Narayan Prasad Tiwari, Suryamani Dhungana, Logan L. Britton

    Published 2025-08-01
    “…Access to regional productivity and profitability information is pivotal for adopting new technologies and modern practices in beekeeping. …”
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  7. 5247

    Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

    Published 2025-03-01
    “…Firstly, a lightweight module C2f-GhostNetBottleNeckV2 is introduced into the backbone to replace the original C2f, reducing the number of parameters. …”
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    Improving Doppler Radar Precipitation Prediction with Citizen Science Rain Gauges and Deep Learning by Marshall Rosenhoover, John Rushing, John Beck, Kelsey White, Sara Graves

    Published 2025-06-01
    “…After validating gauges through a two-stage temporal and spatial consistency filter, we train an adapted ResNet-101 model to classify rainfall intensity from sequences of surface precipitation rate estimates. …”
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    DeepGuard: Enhancing Violence Detection in Smart Cities Through Deep Learning by Md. Al-Mamun Provath, Musfequa Rahman, Kaushik Deb, Pranab Kumar Dhar, Tetsuya Shimamura

    Published 2025-01-01
    “…We fine-tuned the Mobile Video Network (MoViNet-A0) to achieve an accuracy of 92.86% with 1.904M parameters. …”
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    Unmanned Aerial Vehicle Photogrammetry Based Dataset of Halophyte Distribution in Jujin Estuary by Donguk Lee, Yeongjae Jang, Joo-Hyung Ryu, Hyeong-Tae Jou, Keunyong Kim

    Published 2024-12-01
    “…Based on these images, a U-Net model was trained to classify Phragmites communis and Suaeda maritima, generating a classification map of the mixed habitats of salt marsh plants. …”
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    FRAX®: prediction of major osteoporotic fractures in women from the general population: the OPUS study. by Karine Briot, Simon Paternotte, Sami Kolta, Richard Eastell, Dieter Felsenberg, David M Reid, Claus-C Glüer, Christian Roux

    Published 2013-01-01
    “…We compared FRAX® performance with and without bone mineral density (BMD) using receiver operator characteristic (ROC) c-statistical analysis with ORs and areas under receiver operating characteristics curves (AUCs) and net reclassification improvement (NRI).<h4>Results</h4>85 (4.9%) patients had incident major fractures over 6 years. …”
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    Study on the quantitative analysis of Tilianin based on Raman spectroscopy combined with deep learning. by Wen Jiang, Wei Liu, Xiaotong Xin, Wei Zhang, Junhui Chen, Jieyu Liu, Yanqi Ma, Cheng Chen, Xiaomei Pan

    Published 2025-01-01
    “…Six different concentrations of Tilianin-methanol solutions were prepared, and a total of 120 spectral samples were collected, which were pre-processed and inputted into our Raman Spectrum with Self-Attention Quantification Net (RSAQN) for analyzing and predicting. The structure of this model not only focuses on the deep and shallow features of the spectrum, but also the information between different channels, and the self-attention mechanism further extracts the features and outputs the predicted values of Tilianin concentration through the fully connected layer. …”
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