Showing 481 - 500 results of 5,073 for search 'Target average', query time: 0.11s Refine Results
  1. 481

    HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

    Published 2025-06-01
    “…Small-target detection in remote sensing presents three fundamental challenges: limited pixel representation of targets, multi-angle imaging-induced appearance variance, and complex background interference. …”
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    Article
  2. 482

    Contribution of Protected Area Networks to Achieving Global Biodiversity Framework Targets and Sustainable Development Goals: Evidence From Coastal Shandong, China by Ye Zhao, Xinyu Liu, Wenyu Zhang, Nan Liu, Lin Fan, Li Zhao

    Published 2025-08-01
    “…The results show that the PAN raises protected‐area coverage to 33.3%, meeting the GBF 30 × 30 target, boosts SDG 15 terrestrial protection by 50% above the regional average, and supports other SDGs. …”
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    Article
  3. 483

    Clinical significance of HMGB1 changes and its role in targeted activation of TLR/NF-κB pathway in patients with lupus nephritis by PAN Hong-mei, ZHOU Guang-jun, MA Jin-rong, ZHANG Hong-ying, GUO Wei-yi

    Published 2020-01-01
    “…According to co-immunoprecipitation, HMGB1 was targeted to bind to TLR2 and TLR4.Conclusions The high expression of HMGB1 may relate to the occurrence and progression of lupus nephritis, and targeted activation of the TLR/NF-κB pathway is a possible mechanism.…”
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    Article
  4. 484

    A method of identification and localization of tea buds based on lightweight improved YOLOV5 by Yuanhong Wang, Yuanhong Wang, Jinzhu Lu, Jinzhu Lu, Qi Wang, Qi Wang, Zongmei Gao

    Published 2024-11-01
    “…The experimental results show that the recognition accuracy of tea buds is 88.7%, the recall rate is 86.9%, and the average accuracy is 93.1%, which is 0.5% higher than the original YOLOV5M algorithm’s accuracy, the average accuracy is 0.2% higher, the Size is reduced by 82.89%, and the Params, and GFlops are reduced by 83.7% and 85.6%, respectively. …”
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    Article
  5. 485
  6. 486

    Effects of Process Parameters on Microstructure Evolution of Pure Aluminum Target under Clock 135° Collaborative Hot Rolling: A Simulation Study by Rui Xu, Xin Xu, Shengcan Ma

    Published 2024-10-01
    “…Based on the results of current research and experiments, clock 135° hot rolling has been widely considered to be the preferred method in target rolling. However, it has been found that the process parameters are of vital importance during the rolling. …”
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  7. 487

    Burden of low birth weight and short gestation from 1990–2021 and projection to 2050: assessment against 2030 malnutrition reduction targets by Bengui Jiang, Bengui Jiang, Kelly Lin, Kelly Lin, Kelly Lin, Nicholas Buys, Yanfei Qi, Jing Sun

    Published 2025-06-01
    “…To assess the progress in achieving the 2030 Sustainable Development Goals of a 30% reduction in LBWSG, average annual percentage change (AAPC) was calculated on a global, regional, and national level. …”
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  8. 488
  9. 489

    Edge-Based Dynamic Spatiotemporal Data Fusion on Smart Buoys for Intelligent Surveillance of Inland Waterways by Ruolan Zhang, Chenhui Zhao, Yu Liang, Jingfeng Hu, Mingyang Pan

    Published 2025-01-01
    “…The method employs an enhanced Long Short-Term Memory network for precise trajectory prediction of AIS data and a single-stage target detection model for video data analysis. Experimental results demonstrate significant improvements in ship detection accuracy and tracking precision, with an average position prediction error of approximately 1.5 m, which outperforms existing methods. …”
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  10. 490
  11. 491

    Weed Detection Algorithms in Rice Fields Based on Improved YOLOv10n by Yan Li, Zhonghui Guo, Yan Sun, Xiaoan Chen, Yingli Cao

    Published 2024-11-01
    “…The model also improved small target detection (increasing mAP50 by 2.5%), obscured weed detection (increasing mAP50 by 2.8%), and similar weed detection (increasing mAP50 by 3.0%). …”
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    Article
  12. 492

    A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos by Xin Luo, Jiatian Li, Xiaohui A, Yuxi Deng

    Published 2025-01-01
    “…To enhance small-target feature representation, a small-target self-reconstruction module (SR-TOD) is introduced between the neck and the detection head. …”
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    Article
  13. 493

    Application of an improved spherical omnidirectional loudspeaker array model in environmental noise pollution control by Yinsheng Li, Wenping Li, Maixia Fu, Zhaoying Wang, Yueyang Li

    Published 2025-07-01
    “…However, when the target remains stationary, the average noise reduction within the established quiet zone reaches 17.8 dB.…”
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  14. 494

    EGRN-YOLO: An Enhanced Multi-View Remote Sensing Detection Algorithm for Onshore Wind Turbines Based on YOLOv7 by Renzheng Xue, Haiqiang Xu, Qianlong Wu

    Published 2025-01-01
    “…Finally, the NWD loss function is introduced to replace the CIoU loss function, thereby improving the accuracy of positive and negative sample allocation for small targets. Experimental results on the self-constructed VOC_WIND_TURBINE dataset demonstrate that the improved EGRN-YOLO model, compared to the benchmark YOLOv7 model, achieves significant improvements of 1.7% in mean average precision (mAP), 3.3% in precision, 1.8% in recall, and 18.1% in inference time. …”
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  15. 495

    Structural Attributes Injection Is Better: Exploring General Approach for Radar Image ATR with a Attribute Alignment Adapter by Xiaolin Zhou, Xunzhang Gao, Shuowei Liu, Junjie Han, Xiaolong Su, Jiawei Zhang

    Published 2024-12-01
    “…Nowadays, deep learning techniques are extensively applied in the field of automatic target recognition (ATR) for radar images. However, existing data-driven approaches frequently ignore prior knowledge of the target, leading to a lack of interpretability and poor performance of trained models. …”
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  16. 496
  17. 497

    Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

    Published 2025-06-01
    “…Combined with the five-point sampling method, the average dry weight of sorghum spikes (0.12 kg) was used to enable rapid yield estimation. …”
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  18. 498

    A pilot multicenter randomized controlled trial on individualized blood pressure targets versus standard care among critically ill patients with shock by Rakshit Panwar, Bairbre McNicholas, Ciprian Nita, Alison Gibberd, Amber-Louise Poulter, Marcia Tauares, Lauren Ferguson

    Published 2025-05-01
    “…Methods Thirty-seven eligible patients, aged 40 years or older and receiving vasopressor support for shock, were randomly allocated to individualized MAP target (N = 17) or standard MAP target (N = 20) at two multidisciplinary ICUs in Australia and Ireland. …”
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  19. 499
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