Showing 3,261 - 3,280 results of 7,164 for search 'NET information', query time: 0.13s Refine Results
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    A multi-scale enhanced feature fusion model for aircraft detection from SAR images by Guoqing Zhou, Ziqi Zhang, Feng Wang, Qiang Zhu, YueFeng Wang, Ertao Gao, Yufu Cai, Xiao Zhou, Cong Li

    Published 2025-08-01
    “…So, this paper proposes a new method, named ‘multi-scale enhanced feature fusion network, briefly, MSEFF-Net’. Firstly, a nonlinear activation free attention module (NAFAM) is proposed to enhance the feature information of aircraft. …”
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    Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System by Junying Gan, Hantian Chen, Wenchao Xu, Huicong Li, Zhenxin Zhuang, Zhen Chen

    Published 2025-01-01
    “…Current models rely on single feature extraction, such as using a single convolutional neural network to extract local feature, failing to capture other potentially more important information contained within facial data and limiting feature diversity. …”
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    Lightweight grape leaf disease recognition method based on transformer framework by Ning Zhang, Enxu Zhang, Guowei Qi, Fei Li, Cheng Lv

    Published 2025-08-01
    “…By fusing multi-scale information and global information, it improves the richness of feature information. …”
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    Repeat Cardiovascular Risk Assessment after Four Years: Is There Improvement in Risk Prediction? by Parinya Chamnan, Rebecca K Simmons, Stephen J Sharp, Kay-Tee Khaw, Nicholas J Wareham, Simon J Griffin

    Published 2016-01-01
    “…Individuals with high estimated risk (≥20%) at both health examinations had considerably higher rates of cardiovascular events than those who remained in the lowest risk category (<10%) in both health examinations (34.0 [95%CI 31.7-36.6] and 2.7 [2.2-3.3] per 1,000 person-years respectively). Using information from the most up-to-date risk assessment resulted in a small non-significant change in risk classification over the previous risk assessment (net reclassification improvement of -4.8%, p>0.05). …”
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    Tropical Rice Mapping Using Time-Series SAR Images and ESF-Seg Model in Hainan, China, from 2019 to 2023 by Yazhe Xie, Lu Xu, Hong Zhang, Mingyang Song, Ji Ge, Fan Wu

    Published 2025-01-01
    “…The ESF-Seg adopts the Efficient Adaptive Sparse Transformer (EAT) to remove redundant information from input features. The Channel Attention Bridge Block (CAB) and Spatial Attention Bridge Block (SAB) modules are introduced to refine the information. …”
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    Comprehensive Forecasting of Electrical Quantities in an Educational Building via Artificial Intelligence-Driven Distributed Measurement System by Virginia Negri, Roberto Tinarelli, Lorenzo Peretto, Alessandro Mingotti

    Published 2025-04-01
    “…For instance, there is a growing trend in designing new buildings to be net-zero emitters, while older structures are being retrofitted for energy efficiency to achieve similar goals. …”
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