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    Enhancing medical image segmentation through stacked u-net architectures with interconnected convolution layers by Abeer Aljohani

    Published 2025-09-01
    “…Notably, a comparison of the conventional U-Net, Res-U-Net, and Inception-U-Net with cutting-edge U-Net architectures is made. …”
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    A dynamic assembly and fusion approach for digital twin logic models based on petri nets by Pei Liu, Yong Miao, Lei Jiao, Tingyu Liu, Zhonghua Ni

    Published 2025-06-01
    “…To improve the reconfigurability of Digital Twin manufacturing systems, this paper presents a dynamic assembly and fusion approach for Digital Twin logic models based on Petri nets. By modeling twin data from reconfigurable production lines, this approach facilitates seamless information interaction and state synchronization between physical entities and their digital counterparts, as well as between physical components and virtual entities. …”
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    MLKD-Net: Lightweight Single Image Dehazing via Multi-Head Large Kernel Attention by Jiwon Moon, Jongyoul Park

    Published 2025-05-01
    “…To address this limitation, we propose MLKD-Net, a lightweight CNN-based model that incorporates a novel Multi-Head Large Kernel Block (MLKD), which is based on the Multi-Head Large Kernel Attention (MLKA) mechanism. …”
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    Improved Indoor 3D Point Cloud Semantic Segmentation Method Based on PointNet++ by Xingfei Tan, Yonghua Xia, Bin Wang, Ruidong Zou

    Published 2025-01-01
    “…To overcome these limitations, this paper presents an enhanced PointNet++-based model for indoor 3D point cloud segmentation. …”
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    LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

    Published 2025-08-01
    “…We propose LinU-Mamba, a model with a U-Net-based vision Mamba architecture, with light spatial attention in skip connections, and an efficient linear attention mechanism in the encoder and decoder to better capture salient fire information in the dataset. …”
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    Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network by Chunyao Hou, Zhihui Liu, Fan Xia, Xun Zhou, Yuhang Shui, Yonglong Li

    Published 2025-05-01
    “…The improved U-Net model exhibits higher detection accuracy in corridor crack segmentation tasks, effectively extracting feature information from irregular shapes, and provides a superior solution for crack defect detection in a plunge pool corridor, thereby enhancing the safety and efficient maintenance of hydropower stations.…”
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    Enhanced ResNet50 for Diabetic Retinopathy Classification: External Attention and Modified Residual Branch by Menglong Feng, Yixuan Cai, Shen Yan

    Published 2025-05-01
    “…In this study, we propose an improved ResNet50 model, which replaces the 3 × 3 convolution in the residual structure by introducing an external attention mechanism, which improves the model’s awareness of global information and allows the model to grasp the characteristics of the input data more thoroughly. …”
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    DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

    Published 2025-01-01
    “…To tackle these challenges, a detection method known as Dynamic Spatial-Frequency Attention SwinNet (DSFA-SwinNet) for multi-scale PV areas is proposed. …”
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