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  1. 61

    BGM-YOLO: An accurate and efficient detector for detecting plant disease. by Chenghai Yu, Junhao Xie, Fernandes Jean Adrian Tony

    Published 2025-01-01
    “…The experimental results demonstrate that the BGM-YOLO model achieves a 3.9% improvement in the mean average precision (mAP) over the original model. In crop disease detection tasks, the BGM-YOLO model has higher detection accuracy and a lower false negative rate, confirming its practical value in complex application scenarios.…”
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  2. 62

    An Efficient Group Convolution and Feature Fusion Method for Weed Detection by Chaowen Chen, Ying Zang, Jinkang Jiao, Daoqing Yan, Zhuorong Fan, Zijian Cui, Minghua Zhang

    Published 2024-12-01
    “…Currently, research on vegetable weed detection technology is relatively limited, and existing detection methods still face challenges due to complex natural conditions, resulting in low detection accuracy and efficiency. …”
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  3. 63

    Evaluating the Capture Efficiency of Microchannel Plates Through Photoelectron Detection by Mutong Wu, Lingmin Ye, Shangtong Li, Xuan Zhao, Hua Cai, Quan Yu

    Published 2025-06-01
    “…Capture efficiency (CE) is a critical performance parameter for microchannel plates (MCPs), yet its accurate measurement remains challenging. …”
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  4. 64

    Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

    Published 2025-04-01
    “…The proposed approach ensures high reliability, even with small datasets, and improves interpretability for clinicians by overcoming the limitations of more complex methods. The tailored channel selection boosts detection accuracy and ensures robust performance across different seizure types while reducing the computational burden typical of multi-electrode systems. …”
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  5. 65
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    Efficient Aero-Optical Degraded Image Restoration via Adaptive Frequency Selection by Yingjiao Huang, Qingpeng Zhang, Xiafei Ma, Haotong Ma

    Published 2025-03-01
    “…During high-speed flight, the aircraft causes rapid compression of the surrounding air, creating a complex turbulent flow field. This high-speed flow field interferes with the optical transmission of optical imaging systems, resulting in high-frequency random displacement, blurring, intensity attenuation, or saturation of the target scene. …”
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  7. 67
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    The influence of detector's parameters on the efficiency of radio signals with complex phase modulation receiving by I. P. Maksymiv, S. І. Altunin, A. P. Bondariev, I. V. Horbatyi

    Published 2018-12-01
    “…The second part of the work was dedicated to the research of detection efficiency of modified detector using complex phase modulated signal 8-QAM. …”
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  9. 69

    TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

    Published 2025-01-01
    “…The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing. …”
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  10. 70

    Energy Efficiency Oriented Access Point Selection for Cognitive Sensors in Internet of Things by ChunHua Ju, Qi Shao

    Published 2015-10-01
    “…This paper studies the distributed energy efficient access point (AP) selection for cognitive sensors in the Internet of Things (IoT). …”
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  11. 71
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  13. 73

    Technology and practice for efficient development of coalbed methane horizontal wells in high-rank coal of Qinshui Basin by WU Xi

    Published 2025-04-01
    “…Consequently, a “five-element” evaluation index system for production potential in efficient development areas was established, and an optimization method for selecting efficient development areas for high-rank coalbed methane was formulated. …”
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  14. 74
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    Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

    Published 2025-06-01
    “…To solve the problems of its low accuracy, high delay, and large model size in complex environments, following the principle of progressive extraction from high-entropy details to low-entropy semantics, an improved YOLOv8 target detection network for insulator defects based on bidirectional weighted feature fusion was proposed. …”
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  16. 76

    MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

    Published 2025-05-01
    “…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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  17. 77
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    Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

    Published 2025-01-01
    “…To address the limitations of existing algorithms—particularly their low efficiency in detecting small objects and poor accuracy in complex backgrounds—we propose a defect detection model for transmission line components based on YOLOv5. …”
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  19. 79

    Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

    Published 2025-01-01
    “…Simulation results of the proposed method indicate superior performance compared to existing techniques in detection accuracy, error rates, and reduced computational complexity.…”
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  20. 80

    YOLO-SAATD: An efficient SAR airport and aircraft target detector by Daobin Ma, Zhanhong Lu, Zixuan Dai, Yangyue Wei, Li Yang, Haimiao Hu, Wenqiao Zhang, Dongping Zhang

    Published 2025-06-01
    “…While object detection performs well in natural images, it faces challenges in Synthetic Aperture Radar (SAR) images for detecting airports and aircraft due to discrete scattering points, complex backgrounds, and multi-scale targets. …”
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