Showing 3,521 - 3,540 results of 7,164 for search 'NET information', query time: 0.16s Refine Results
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    G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

    Published 2023-01-01
    “…Remote sensing images (RSIs) contain important information, such as airports, ports, and ships. By extracting RSI features and learning the mapping relationship between image features and text semantic features, the interpretation and description of RSI content can be realized, which has a wide range of application value in military and civil fields, such as national defense security, land monitoring, urban planning, and disaster mitigation. …”
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  7. 3527

    Variability of the Skin Temperature from Wrist-Worn Device for Definition of Novel Digital Biomarkers of Glycemia by Agnese Piersanti, Martina Littero, Libera Lucia Del Giudice, Ilaria Marcantoni, Laura Burattini, Andrea Tura, Micaela Morettini

    Published 2025-06-01
    “…Characterization of the skin temperature signal measured through the Empatica E4 device was obtained in 16 subjects (data taken from a dataset freely available on PhysioNet) by deriving standard metrics and a set of novel metrics describing both the current and the retrospective behavior of the signal. …”
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    Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples by Zhenshi Zhang, Qiujun Li, Wenxuan Jing, Guangjun He, Lili Zhu, Shijuan Gao

    Published 2024-12-01
    “…The proposed method for remote sensing image feature extraction has been validated on four datasets. On the PatternNet dataset, it achieved a 91.1% accuracy with just one-shot.…”
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    MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

    Published 2025-06-01
    “…To fully leverage the complementary properties of RGB and CHM, we present a novel <b>M</b>ultimodal learning-based <b>T</b>ree <b>C</b>rown <b>D</b>etection <b>Net</b>work (MTCDNet). Specifically, a transformer-based multimodal feature fusion strategy is proposed to adaptively learn correlations among multilevel features from diverse modalities, which enhances the model’s ability to represent tree crown structures by leveraging complementary information. …”
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    Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements by Omar Bashaddadh, Nazlia Omar, Masnizah Mohd, Mohd Nor Akmal Khalid

    Published 2025-01-01
    “…Similarly, the GANM model demonstrated robust performance on the FakeNewsNet dataset by integrating text and social features. …”
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    MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

    Published 2025-01-01
    “…The decoder progressively upsamples to restore the original point cloud and injects multi-scale feature information to achieve precise segmentation. Based on the aforementioned encoding-decoding structure and multi-scale feature fusion, MFFTNet outperforms existing methods on the point cloud semantic segmentation datasets ShapeNetPart and S3DIS.…”
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