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  1. 441

    YOLO-RD: A Road Damage Detection Method for Effective Pavement Maintenance by Wei Wang, Xiaoru Yu, Bin Jing, Ziqi Tang, Wei Zhang, Shengyu Wang, Yao Xiao, Shu Li, Liping Yang

    Published 2025-02-01
    “…However, detecting small damage, managing complex backgrounds, and identifying irregular damage shapes remain significant challenges. To address these issues, we propose YOLO-RD, an advanced detection framework that integrates innovative modules for feature enhancement, multi-scale robustness, and detail preservation. …”
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    Article
  2. 442

    IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

    Published 2025-04-01
    “…This method introduces an information extraction module (IEM), which enhances stripe selection through a mask-based mechanism, promoting inter-layer interactions and directing the network’s focus toward key features. …”
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    Article
  3. 443

    Efficient deep learning-based tomato leaf disease detection through global and local feature fusion by Hao Sun, Rui Fu, Xuewei Wang, Yongtang Wu, Mohammed Abdulhakim Al-Absi, Zhenqi Cheng, Qian Chen, Yumei Sun

    Published 2025-03-01
    “…This research provides an effective solution for efficiently detecting vegetable pests and disease issues.…”
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    Article
  4. 444

    MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

    Published 2025-05-01
    “…To address the issues of high computational complexity and boundary feature loss encountered when extracting farmland information from high-resolution remote sensing images, this study proposes an innovative CNN–Transformer hybrid network, MAMNet. …”
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    Article
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    The modulation of synoptic weather patterns and human activities on the diurnal cycle of the summertime canopy urban heat island in the Yangtze River Delta Urban Agglomeration, Chi... by T. Shi, T. Shi, Y. Yang, L. Zong, M. Guo, M. Guo, P. Qi, S. Lolli

    Published 2025-05-01
    “…These results indicated that there was a clear diurnal asymmetry in the modulation of CUHI by SWPs and human activities. In conclusion, this study not only provided scientific insight into the complex driving mechanisms of the CUHI diurnal cycle in YRDUA, but also offered a theoretical foundation for evaluating urban overheating issues and developing effective mitigation strategies.…”
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  8. 448
  9. 449

    GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments by Yuhao Wang, Heran Zhu, Yirong Wang, Jianping Liu, Jun Xie, Bi Zhao, Siyue Zhao

    Published 2025-07-01
    “…This method enhances the model’s detection robustness in complex backgrounds and effectively addresses the issue of insufficient emphasis on positive samples. …”
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    Article
  10. 450

    Energy Efficient Forward Osmosis to Maximize Dewatering Rates by Jongmin Jeon, Dongkeon Kim, Suhan Kim

    Published 2025-06-01
    “…To address this issue, we propose a novel hybrid FO module configuration in which the FS flows in series while the DS is split and distributed in parallel across moules. …”
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    Article
  11. 451
  12. 452

    An improved YOLOv8n algorithm for dense pedestrian scenarios by Wang Lili, Fan Panpan, Zhang Shiyu

    Published 2025-02-01
    “…Firstly, by introducing the SPPELAN module to replace the SPPF module in the backbone network, the model’s ability to perceive features of multi-scale targets is enhanced. …”
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    Article
  13. 453

    A method for identifying gully-type debris flows based on adaptive multi-scale feature extraction by Qiuyu Liu, Ting Wang, Zhijie Zheng, Baoyun Wang

    Published 2025-12-01
    “…Rapid and accurate identification of gully-type debris flows is vital for safeguarding lives and property in mountainous regions. To address the issues of inaccurate and insufficient gully feature extraction, we propose a dual-branch feature extraction module based on multi-scale and self-attention mechanisms. …”
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    Article
  14. 454

    TSD-Net: A Traffic Sign Detection Network Addressing Insufficient Perception Resolution and Complex Background by Chengcheng Ma, Chang Liu, Litao Deng, Pengfei Xu

    Published 2025-06-01
    “…TSD-Net integrates a Feature Enhancement Module (FEM) to expand the network’s receptive field and enhance its capability to capture target features. …”
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    Article
  15. 455

    Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

    Published 2025-07-01
    “…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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