Showing 4,381 - 4,400 results of 7,164 for search 'NET information', query time: 0.15s Refine Results
  1. 4381

    A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

    Published 2025-01-01
    “…The configuration and development of the pre-trained MobileNetV2 base model have been performed, which is then applied to the federated learning(FL) framework. …”
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  2. 4382

    Research on Multi-Objective Pedestrian Tracking Algorithm Based on Full-Size Feature Fusion by Yihuai Zhu, Zhandong Liu, Ke Li, Yong Li, Xiangwei Qi, Nan Ding

    Published 2025-01-01
    “…The algorithm utilizes the proposed feature extraction network, Better Omni-Scale Net (BOSNet), to captures both global and local appearance information, effectively reducing appearance information loss. …”
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    High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8 by Siqi Niu, Xiaolin Xu, Ao Liang, Yuliang Yun, Fengqi Hao, Jinqiang Bai, Wenyi Sheng, Dexin Ma

    Published 2025-05-01
    “…Firstly, the backbone was replaced with FasterNet, which reduced redundant computation and memory access, allowing more efficient extraction of spatial features. …”
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    The effect of traditional agricultural practices on the food consumption of households facing extreme weather events in Tanzania by Tim Wegenast, Niklas Hänze, Roos Haer, Marcel Birulés

    Published 2025-01-01
    “…Methods We combine temperature and rain data with information on farming practices and food consumption information provided by the Living Standards Measurement Study–Integrated Surveys on Agriculture for more than 25,000 Tanzanian households nationwide. …”
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    Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework by Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia

    Published 2025-01-01
    “…This paper proposes a novel approach to identify and categorize acute lymphoblastic leukemia that uses explainable artificial intelligence and federated learning to train models across multiple institutions while keeping patient information decentralized and encrypted. The framework trains EfficientNetB3 for the classification of leukemia cells and incorporates explainability techniques to make decisions of the underlying model transparent and interpretable. …”
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  12. 4392

    PATNet: Permute attention and transformer-enhanced network for segmentation of musculoskeletal ultrasound images by Yating Wu, Feng Bu, Jin Tian, Li Zhao, Guangfei Yang, Jianming Lu

    Published 2025-09-01
    “…The model is built upon the classical U-Net architecture to enhance the perception of microstructural features in muscle fibers.The Permute Spatial Attention (PSA) module reconstructs spatial information into the channel dimension, improving the model's sensitivity to muscle fiber orientation, density, and fine-grained texture variations. …”
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