Showing 521 - 540 results of 1,153 for search 'instance detection', query time: 0.19s Refine Results
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    Fault-Tolerance Distributed Control Plane for Software Defined Networks by Vasily N. Pashkov

    Published 2019-03-01
    “…High availability is achieved by redundancy of controller instances, active switch-controller communications, computing resources and tools for a controller instance failure and overloading detection and recovery. …”
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  12. 532

    Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans by Xavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, Carlos F. Muñoz-Nuñez, Mario Laudazi, Ángel Alberich-Bayarri

    Published 2025-08-01
    “…Results On the independent test set, our method achieved a Dice similarity coefficient of 76% for segmentation and a lesion detection sensitivity of 85%. When evaluated on an external dataset of 188 real-world cases, it achieved a Dice similarity coefficient of 73%, and a lesion detection sensitivity of 85%. …”
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  13. 533

    Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

    Published 2025-01-01
    “…We utilize ResNet50 and ViT architectures with Faster-RCNN for detection and recognition, developed using PyTorch 2.0. …”
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  14. 534

    Bladder cancer biomarkers: current approaches and future directions by Melika Ahangar, Frouzandeh Mahjoubi, Seyed Javad Mowla

    Published 2024-11-01
    “…For instance, sensitivities of BTA stat in bladder tumor detection have varied between 40-72%, while its specificities vary from 29-96%. …”
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  15. 535

    Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

    Published 2025-04-01
    “…Subsequently, primary features such as shape, color, and texture were extracted from the segmentation results, and a graph structure based on the extracted features and relationships between instances was constructed. The graph structure was input into GCN for high-order feature extraction, where the neighbor information of nodes was aggregated through multi-layer graph convolution to update node features, ultimately fusing the high-order features and primary features output by GCN to obtain multidimensional features for classification, detection, and segmentation tasks, thereby improving the accuracy and efficiency of image analysis. …”
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  16. 536

    Artificial Intelligence of Things in Hydrogen Sensing: Toward Optic and Intelligent System by Jianxiong Zhu, Yifan Zhan, Xijie Ni, Yuze Gao

    Published 2025-01-01
    “…For instance, optical hydrogen sensors offer high sensitivity and accurate gas detection with strong immunity to electromagnetic interference. …”
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  17. 537

    Infected pericardial effusion caused by Prevotella intermedia: a rare diagnosis by Wan Xu, Dan Han, Tianyang Chen, Qian Wang

    Published 2025-06-01
    “…It presents challenges in detection through routine laboratory assays, and hitherto, there has been no documented instance of detecting this bacterium in pericardial effusion in China. …”
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  18. 538

    Deciphering the Enigma of Wave-Particle Duality by Mani Lal Bhaumik

    Published 2016-12-01
    “…Only the totality of the entire wave packet at any instance embodies all the conserved quantities, for example the energy-momentum, rest mass, and charge of the particle, and as such must be acquired all at once during detection. …”
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  19. 539

    Photoactive integrated microfluidic valves for on-chip fluid control by Christina Schmidleithner, Johannes R. Peham

    Published 2024-12-01
    “…Thus, our photoactive valves show the potential of facilitating programmable lab-on-a-chip experiments, for instance, for sample preparation such as for bind-wash-elute protocols, for immunoassay, or for amplification-based detection methods.…”
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  20. 540

    Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

    Published 2025-01-01
    “…With the development of deep learning, the YOLO model has become widely used for automated snow depth detection due to its efficient and accurate instance segmentation. …”
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