Showing 561 - 580 results of 608 for search 'computing and networking point optimization', query time: 0.19s Refine Results
  1. 561

    Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

    Published 2025-01-01
    “…Meanwhile, the computational complexity in terms of GFLOPs (Giga Floating Point Operations) is reduced by 3.1%. …”
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  2. 562
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  5. 565

    Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

    Published 2025-09-01
    “…Additionally, the computational complexity of the proposed framework was evaluated in terms of floating-point operations per second (FLOPs) and the total number of parameters, ensuring its efficiency for real-time biomedical applications. …”
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  6. 566

    Lightweight highland barley detection based on improved YOLOv5 by Minghui Cai, Hui Deng, Jianwei Cai, Weipeng Guo, Zhipeng Hu, Dongzheng Yu, Houxi Zhang

    Published 2025-03-01
    “…We chose depthwise separable convolution (DSConv) and ghost convolution (GhostConv) for the backbone and neck networks, respectively, to reduce the parameter and computational complexity. …”
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  7. 567

    OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

    Published 2025-07-01
    “…A neural architecture search (NAS)-enhanced FCOS decoder replaces both the traditional feature pyramid networks (FPN) and prediction head in FCOS, optimizing feature fusion and prediction. …”
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    Article
  8. 568
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    Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

    Published 2024-11-01
    “…Secondly, an element-by-element point multiplication mechanism was designed to fuse global and local contextual supervision information of wheat spike. …”
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  10. 570
  11. 571

    Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

    Published 2024-11-01
    “…Moreover, the pruned model showed substantial advantages in terms of floating-point operations, model size, and parameter count compared to these other lightweight networks. …”
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  12. 572

    YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection by Yuxi Huang, Hong Zhao, Jie Wang

    Published 2024-09-01
    “…To address this challenge, this study proposed an optimized eggplant disease detection algorithm, YOLOv8-E, based on You Only Look Once version 8 nano (YOLOv8n). …”
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  13. 573

    AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes by Na Ma, Na Ma, Na Ma, Yile Sun, Yile Sun, Chenfei Li, Chenfei Li, Zonglin Liu, Zonglin Liu, Haiyan Song, Haiyan Song

    Published 2025-05-01
    “…First, the sampling method in the backbone and neck networks is replaced with ADown downsampling to capture higher-level image features, reducing floating-point operations and computational complexity. …”
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    Article
  14. 574

    PHRF-RTDETR: a lightweight weed detection method for upland rice based on RT-DETR by Xianjin Jin, Jinheng Zhang, Fei Wang, Mengyan Zhao, Yunshuang Wang, Jianping Yang, Jinfeng Wu, Bing Zhou

    Published 2025-06-01
    “…Furthermore, the RepC3 block is optimized by incorporating the RetBlock structure, resulting in RetC3, which effectively balances feature fusion and computational efficiency. …”
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    Article
  15. 575

    Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

    Published 2025-08-01
    “…Compared to the baseline DeepLabv3+, this represents a 1.89% improvement in MIoU, a 0.83% increase in MPA, alongside 93.1% and 91.6% reductions in Flops and Params.DiscussionThe MMPC-DeepLabv3+ model demonstrated superior performance over DeepLabv3+, U-Net, PSPNet, HRNetV2, and SegFormer, achieving an optimal balance between recognition accuracy and computational efficiency, which establishes a novel paradigm for rice lesion segmentation in precision agriculture.…”
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    Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

    Published 2024-09-01
    “…In addition to being relatively easy to model, existing optimization tools and software provide poor results when increasing the dimensionality of these types of problems with exceeding computational capacity. …”
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    DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

    Published 2025-05-01
    “…Additionally, the MPDinner-IoU loss function optimizes feature measurement for small insect pest datasets by introducing geometric correction capabilities. …”
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  20. 580

    大學教師學術發表影響力之影響因素 Factors Influencing Publication Impact of Faculty by 郭玲玲 Ling-Ling Kueh, 許清芳 Ching-Fan Sheu

    Published 2024-12-01
    “…Institutions can effectively optimize resource allocation to enhance academic productivity by adopting a nuanced approach to such allocation. …”
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