Showing 1 - 20 results of 7,164 for search 'NET information', query time: 0.15s Refine Results
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    Analyzing the Dimensionality of O*NET Cognitive Ability Ratings to Inform Assessment Design by Stephen G. Sireci, Brendan Longe, Javier Suárez-Álvarez, Maria Elena Oliveri

    Published 2024-11-01
    “…The O*NET database is an online repository of detailed information on the knowledge and skill requirements of thousands of jobs across the United States. …”
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    Article
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    Oil-Painting Style Classification Using ResNet with Conditional Information Bottleneck Regularization by Yaling Dang, Fei Duan, Jia Chen

    Published 2025-06-01
    “…In this paper, we introduce a deep conditional information bottleneck (CIB) framework, built atop ResNet-50, for fine-grained style classification of oil paintings. …”
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    TCCU-Net: Transformer and CNN Collaborative Unmixing Network for Hyperspectral Image by Jianfeng Chen, Chen Yang, Lan Zhang, Linzi Yang, Lifeng Bian, Zijiang Luo, Jihong Wang

    Published 2024-01-01
    “…In order to fully harness the information contained within hyperspectral images, this article explores a dual-stream collaborative network, referred to as TCCU-Net. …”
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    ESMII-Net: An edge-synergy and multidimensional information interaction network for remote sensing change detection by Yixin Chen, Xiaogang Ning, Ruiqian Zhang, Hanchao Zhang, Xiao Huang, You He

    Published 2025-05-01
    “…To overcome these challenges, we introduce the Edge-Synergy and Multidimensional Information Interaction Network (ESMII-Net) specifically designed for remote sensing change detection. …”
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    CLGB-Net: fusion network for identifying local and global information of lesions in digital mammography images by Ningxuan Hu, Zhizhen Gao, Zongyu Xie, Lei Li

    Published 2025-07-01
    “…ResNet-50 is used to extract local features. The Swin Transformer is utilized to capture global contextual information and extract global features. …”
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    StrawberryNet: Fast and Precise Recognition of Strawberry Disease Based on Channel and Spatial Information Reconstruction by Xiang Li, Lin Jiao, Kang Liu, Qihuang Liu, Ziyan Wang

    Published 2025-04-01
    “…And then, a discriminative feature extractor, including channel information reconstruction network (CIR-Net) and spatial information reconstruction network (SIR-Net) modules, is designed for abstracting the identifiable features of different types of strawberry disease. …”
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    PICT-Net: A Transformer-Based Network with Prior Information Correction for Hyperspectral Image Unmixing by Yiliang Zeng, Na Meng, Jinlin Zou, Wenbin Liu

    Published 2025-02-01
    “…To benefit from the advantages of the Transformer architecture and to improve the interpretability and robustness of the network, a dual-branch network with prior information correction, incorporating a Transformer network (PICT-Net), is proposed. …”
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    Fusion of Aerial and Satellite Images for Automatic Extraction of Building Footprint Information Using Deep Neural Networks by Ehsan Haghighi Gashti, Hanieh Bahiraei, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour

    Published 2025-05-01
    “…Several satellite-derived spectral indices were extracted from the Sentinel-2 image. Then, U-Net models combined with ResNet-18 and ResNet-34 were trained on these data. …”
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    DenseNet-Enabled Intelligent Ship Energy Consumption Prediction Method with Navigation Information and Environmental Factors by Gulashan Tang, Rui Luo, Bin Huang, Xiang Li, Hui Ma

    Published 2025-01-01
    “…Regarding the limitations of low accuracy and poor effectiveness in ship energy consumption prediction, caused by the diverse voyages and specialized operational missions of research vessels, this paper proposes a DenseNet-enabled energy consumption prediction model considering the complex navigation information and diverse environmental factors. …”
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    Beyond amplitude: Phase integration in bird vocalization recognition with MHAResNet by Jiangjian Xie, Zhulin Hao, Chunhe Hu, Changchun Zhang, Junguo Zhang

    Published 2025-03-01
    “…Traditional recognition methods often neglect phase information, resulting in incomplete feature representation. …”
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