Showing 9,321 - 9,340 results of 21,428 for search '"computing"', query time: 0.09s Refine Results
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    Metadag: a web tool to generate and analyse metabolic networks by Pere Palmer-Rodríguez, Ricardo Alberich, Mariana Reyes-Prieto, José A. Castro, Mercè Llabrés

    Published 2025-01-01
    “…By retrieving data from the KEGG database, MetaDAG helps users visualize and analyze complex metabolic interactions efficiently. Results MetaDAG computes two models: a reaction graph and a metabolic directed acyclic graph (m-DAG). …”
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    AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

    Published 2025-01-01
    “…These results illustrate that the method proposed in this paper not only excels in the segmentation of complex shapes and small targets but also significantly enhances overall performance at lower computational costs. This research offers new insights and references for model design in future medical image segmentation tasks.…”
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    Single-View Depth Estimation: Advancing 3D Scene Interpretation With One Lens by Kavitha Dhanushkodi, Akila Bala, Neelam Chaplot

    Published 2025-01-01
    “…Its versatility makes it particularly valuable for real-world applications like autonomous navigation, where accurate depth perception is essential for tasks such as obstacle avoidance and path planning, and augmented reality, where it enhances the interaction between virtual and physical objects. Furthermore, its computational efficiency allows for real-time depth estimation, making it suitable for time-critical applications in fields such as robotics and drones. …”
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    Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

    Published 2024-12-01
    “…This AVS model not only advances biologically inspired multi-channel processing but also provides a practical framework for efficient, integrated visual processing in computational models.…”
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    Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification by Russo Ashraf, Kang-Hyun Jo

    Published 2025-01-01
    “…Historically, state-of-the-art methods in this field have struggled to achieve satisfactory results without a significant trade-off in computational efficiency. These methods often require substantial computational resources to process the complex data characteristics of RS imagery, leading to inefficiencies that limit their practical application in real-time or on resource-constrained platforms. …”
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