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  1. 15841
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  4. 15844

    Hazard Assessment of Extreme Compound Flood Hazards in Coastal Cities under Climate Change: A Case Study of Haikou City by Liu Qing, Wu Guofeng, Yao Qian, Xu Hanqing, Niu Yiying, Wei Xuchen, Wang Jun, Li Mengya

    Published 2025-04-01
    “…Despite the potential reduction in extreme event intensity, the frequency of compounding events has increased significantly. …”
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    Article
  5. 15845
  6. 15846

    Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

    Published 2025-01-01
    “…Occlusion leads to a sharp reduction in the visible range of targets and a substantial loss of pedestrian features, making it difficult for detectors to distinguish between targets and pedestrians effectively. …”
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  7. 15847
  8. 15848
  9. 15849

    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
    “…Furthermore, a two-stage seedling-hole matching algorithm was introduced based on the pruned YOLOv8s model. …”
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    Article
  10. 15850

    Effect of tool angle in nanocutting of single crystal GaN using diamond cutter by Yongqiang WANG, Hao XIA, Zhihang HU, Shuaiyang ZHANG, Shaohui YIN

    Published 2025-06-01
    “…This directly supports the simulation predictions regarding the detrimental effects of highly negative rake angles. …”
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    Article
  11. 15851

    Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

    Published 2025-02-01
    “…This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. …”
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    Article
  12. 15852

    Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

    Published 2023-12-01
    “…In addition to the deep convolutional neural network architecture model 4, the research contribution obtained from this research is the use of filter size variations of 3x3, 2x2, and 1x1 with a fixed number of convolutional layers and a reduction in the number of hidden layers in the algorithm structure can reduce the number of model parameters while maintaining high detection capability. …”
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  13. 15853
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  16. 15856

    Study and application of the energy unit cutting theory and punching-blasting synergy permeability enhancement technology in tectonic anomaly areas of coal mines by Jingyu JIANG, Xiaobin DONG, Mintao WEI, Chenghao WANG, Yuanping CHENG, Xiaoning SHI

    Published 2025-05-01
    “…This paper combined theoretical analysis, numerical simulation, and field experiments, this study investigated the principles of energy reduction and outburst prevention using combined punching and controlled energy-accumulating blasting measures. …”
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  17. 15857

    Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter studyResearch in context by Limeng Qu, Jinfeng Zhu, Xilong Mei, Zixi Yi, Na Luo, Songlin Yuan, Xuan Liu, Mingwen Liu, Haiqing Xie, Xiongqiang Hu, Liangrui Pan, Qingchun Liang, Yanhui Li, Qiongyan Zou, Qin Zhou, Danhua Zhang, Meirong Zhou, Lei Pei, Ke Qian, Qian Long, Qitong Chen, Xi Chen, Jennifer K. Plichta, Qingyao Shang, Meishuo Ouyang, Jiachi Xu, Wenjun Yi

    Published 2025-07-01
    “…Regions of interest (ROIs) were segmented, and CT radiomic features were extracted. 11 supervised learning models were built on the basis of labeled ALNs, and pseudolabels (low-risk, high-risk groups) were assigned to unlabeled ALNs. Seven ML algorithms developed semisupervised multiclassifiers on the basis of the predicted probabilities for 4191 ALNs. …”
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  18. 15858

    Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

    Published 2023-06-01
    “…L’objectif de l’étude était d’évaluer les effets de l’implémentation d’un algorithme de la sédation sur la durée de ventilation mécanique. …”
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  19. 15859

    Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

    Published 2023-06-01
    “…L’objectif de l’étude était d’évaluer les effets de l’implémentation d’un algorithme de la sédation sur la durée de ventilation mécanique. …”
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    Article
  20. 15860

    Acute Coronary Syndrome in Patients With 2 Type Diabetes Mellitus (Review of Literature; Description of the Clinical Case) by Bilous Z., Abrahamovych О., Mazur N., Ryabokon S., Ilenkiv N., Bevza N.

    Published 2019-10-01
    “…The effect of each individual pathogenic marker on the clinical course and complications of these patients remains undetermined; therefore, the study of the clinical course of ACS with comorbid type 2 diabetes mellitus and the prediction of complications are important for improving the prognosis in these patients. …”
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