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  1. 221

    A Robust YOLOv5 Model with SE Attention and BIFPN for Jishan Jujube Detection in Complex Agricultural Environments by Hao Chen, Lijun Su, Yiren Tian, Yixin Chai, Gang Hu, Weiyi Mu

    Published 2025-03-01
    “…This study presents an improved detection model based on the YOLOv5 (You Only Look Once version 5) framework to enhance the accuracy of Jishan jujube detection in complex natural environments, particularly with varying degrees of occlusion and dense foliage. …”
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    Article
  2. 222

    URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions by Di Mu, Yuping Guou, Wei Wang, Ran Peng, Chunjie Guo, Francesco Marinello, Yingjie Xie, Qiang Huang

    Published 2025-05-01
    “…This study provides an efficient and practical solution for intelligent agriculture, enhancing real-time tomato detection and laying a solid foundation for future crop monitoring systems.…”
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    Article
  3. 223

    Analysis results of experimental operation of the protection complex of long perimeters VM 8018 by L. L. Utin, A. V. Pavlovsky, A. A. Olkhovik, A. V. Makatserchyk

    Published 2021-06-01
    “…In recent years, technical means of perimeter security are becoming more widespread, which is due to their increasing efficiency of protection from unauthorized access by intruders to protected facilities. …”
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    Article
  4. 224

    ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research by Xianyao Wang, Yutong Huang, Siyu Wei, Weize Xu, Xiangsen Zhu, Jiong Mu, Xiaoyan Chen

    Published 2025-06-01
    “…These results demonstrate that ELD-YOLO provides an effective and efficient solution for fruit detection in complex orchard scenarios.…”
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    Article
  5. 225

    An Efficient K-Best MIMO Detector for Large Modulation Constellations by Yu-Xin Liu, Shih-Jie Jihang, Yeong-Luh Ueng

    Published 2024-01-01
    “…A bisection-based search algorithm is used to obtain the locations of the <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> surviving candidates. A low-complexity fully-pipelined architecture is devised in order to implement the proposed MIMO detection without the need to use any dividers. …”
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    Article
  6. 226

    Using lightweight method to detect landslide from satellite imagery by Jinchi Dai, Xiaoai Dai, Renyuan Zhang, JiaXin Ma, Wenyu Li, Heng Lu, Weile Li, Shuneng Liang, Tangrui Dai, Yunfeng Shan, Donghui Zhang, Lei Zhao

    Published 2024-12-01
    “…Increasingly general-purpose detection models are being deployed for these complex and dynamic tasks involving features that are difficult to characterize. …”
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    Article
  7. 227

    Efficient tree mapping through deep distance transform (DDT) learning by Jan Schindler, Ziyi Sun, Bing Xue, Mengjie Zhang

    Published 2025-08-01
    “…The increase in available remote sensing data and advances in automated object detection makes it feasible to map trees over large areas in unprecedented detail. …”
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    Article
  8. 228

    PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

    Published 2025-06-01
    “…PVLF explores local spatial features to improve accuracy regarding tiny object detection. To address the potential complex computational issues in the convolution process, we have designed an innovative Adaptive Sparse Convolution (ASC) module that effectively eliminates redundant information in the feature layer. …”
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    Article
  9. 229

    Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring by Sicheng You, Boheng Li, Yijia Chen, Zhiyan Ren, Yongying Liu, Qingyang Wu, Jianghan Tao, Zhijie Zhang, Chenyu Zhang, Feng Xue, Yulun Chen, Guochen Zhang, Jundong Chen, Jiaqi Wang, Fan Zhao

    Published 2025-06-01
    “…Accurately detecting roses in UAV-captured greenhouse imagery presents significant challenges due to occlusions, scale variability, and complex environmental conditions. …”
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    Article
  10. 230

    Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

    Published 2021-01-01
    “…The system efficiency of pumping units in the middle and late stages of oil recovery is characterized by several factors, complex data and poor regulation. …”
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    Article
  11. 231

    An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

    Published 2012-01-01
    “…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. …”
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  14. 234

    A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

    Published 2025-07-01
    “…Abstract Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolution tissue images, limiting their diagnostic accuracy and generalization. …”
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  15. 235

    An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment by Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv

    Published 2024-11-01
    “…This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. …”
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    Article
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    Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity by Yue Chen, Jian Lu

    Published 2024-10-01
    “…At present, complex deep learning algorithms are often used for vehicle detection and tracking, but high-precision detection results are often obtained at the cost of time, and the existing research rarely considers optimization algorithms for vehicle information. …”
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    Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

    Published 2025-04-01
    “…To address the demand for large-scale real-time pavement damage assessment, this study proposes a lightweight pavement damage detection model based on YOLOv5s (LPDD-YOLO). Initially, a lightweight feature extraction network, FasterNet, is adopted to reduce the number of parameters and computational complexity. …”
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    Article
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