Showing 2,941 - 2,960 results of 12,239 for search 'algorithm detection', query time: 0.19s Refine Results
  1. 2941

    EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

    Published 2025-01-01
    “…Experimental results demonstrate that when compared to other algorithms, ETDN outperforms them on the identical test set, exhibiting average absolute errors of 0.1920, 0.1809, and 0.2904 for length, width, and depth, respectively.…”
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    Article
  2. 2942

    IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

    Published 2025-07-01
    “…Abstract The timely detection of abnormal health conditions is crucial in achieving successful medical intervention and enhancing patient outcomes. …”
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    Article
  3. 2943

    Denoising Algorithm for High-Resolution and Large-Range Phase-Sensitive SPR Imaging Based on PFA by Zihang Pu, Xuelin Wang, Wanwan Chen, Zhexian Liu, Peng Wang

    Published 2025-07-01
    “…We present an enhanced SPR phase imaging system combining a quad-polarization filter array for phase differential detection with a novel polarization pair, block matching, and 4D filtering (PPBM4D) algorithm to extend the dynamic range and enhance resolution. …”
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    Article
  4. 2944

    A comprehensive review of predictive analytics models for mental illness using machine learning algorithms by Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, Ferdaus Anam Jibon, Md. Sahidullah

    Published 2024-12-01
    “…There has been growing interest in the use of machine learning for the early detection of mental illness. This study reviews the machine learning models, algorithms, and applications for the early detection of mental disease, particularly emphasizing the data modalities. …”
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    Article
  5. 2945

    Research on Space-Based Gravitational Wave Signal Denoising Based on Improved VMD with Parrot Algorithm by Jingyi Xi, Xiaolong Li, Yunqing Liu, Dongpo Xu, Qiuping Shen, Hanyang Liu

    Published 2025-06-01
    “…The experimental results show that the algorithm is superior to other algorithms in the noise separation of GW signals, significantly improves the SNR, improves the detection accuracy of GW, and provides a new technical means for the extraction and analysis of GW signals.…”
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    Article
  6. 2946
  7. 2947

    FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

    Published 2023-12-01
    “…With the development of multi-modal convolutional neural networks (CNNs) in recent years, the performance of driving scene semantic segmentation algorithms has been dramatically improved. Therefore most free-space detection algorithms are developed based on multiple sensors. …”
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    Article
  8. 2948

    Detection of sugar beet seed coating defects via deep learning by Abdullah Beyaz, Zülfi Saripinar

    Published 2025-05-01
    “…Using the YOLO algorithm, it is possible to detect and categorize coating defects on sugar beet seeds, thereby enhancing seed quality and production swiftly, and effectively. …”
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    Article
  9. 2949

    YOLOv9-GSSA model for efficient soybean seedlings and weeds detection by Baihe Liang, Liangchen Hu, Guangxing Liu, Peng Hu, Shaosheng Xu, Biao Jie

    Published 2025-12-01
    “…Challenges include the small size and morphological similarity of seedlings and weeds, complicating conventional detection methods. To tackle these issues, we propose a real-time detection algorithm called YOLOv9-GSSA. …”
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    Article
  10. 2950

    Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

    Published 2025-06-01
    “…Abstract Background Despite notable advancements in prosthetic leg technology, commercially available devices with embedded algorithms utilizing bioelectric signals for prosthetic leg control are lacking. …”
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    Article
  11. 2951

    Wearable Fall Detection System with Real-Time Localization and Notification Capabilities by Chin-Kun Tseng, Shi-Jia Huang, Lih-Jen Kau

    Published 2025-06-01
    “…Despite significant progress in fall detection systems, many of the proposed algorithms remain difficult to implement in real-world applications. …”
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    Article
  12. 2952

    Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

    Published 2025-01-01
    “…Experiments conducted on real hyperspectral datasets demonstrate that the algorithm effectively identifies a subset of bands with high representational power for anomaly detection. …”
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    Article
  13. 2953

    Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

    Published 2024-09-01
    “…Compared with other models, the proposed model not only guarantees the detection accuracy of the algorithm, but also greatly reduces the model volume, which provides support for the realization of visible light insulator target detection based on edge intelligence.…”
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  14. 2954

    Lightweight tea bud detection method based on improved YOLOv5 by Kun Zhang, Bohan Yuan, Jingying Cui, Yuyang Liu, Long Zhao, Hua Zhao, Shuangchen Chen

    Published 2024-12-01
    “…The advantages of this paper’s algorithm in tea shot detection can be noticed by comparing it to other YOLO series detection algorithms. …”
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  15. 2955

    Using Trust and Reputation for Detecting Groups of Colluded Agents in Social Networks by Mariantonia Cotronei, Sofia Giuffre, Attilio Marciano, Domenico Rosaci, Giuseppe M. L. Sarne

    Published 2025-01-01
    “…Although the well-known EigenTrust algorithm can be fruitfully used to detect colluded agents, two important issues arise which limit its effectiveness: 1) it requires input information about which agents can be a-priori considered particularly trustworthy; and 2) it is not designed to handle situations in which we have several, different groups of colluded agents. …”
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    Article
  16. 2956

    Research and Design of an Airfield Runway FOD Detection System Based on WSN by Li Ang

    Published 2013-12-01
    “…This paper introduces a designed method of airport runway FOD detection system based on WSN, analyzes function of various image acquisition sensors, and introduces FOD image analysis algorithm. …”
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    Article
  17. 2957

    Edge Detection in Digital Images Using Dispersive Phase Stretch Transform by Mohammad H. Asghari, Bahram Jalali

    Published 2015-01-01
    “…We describe a new computational approach to edge detection and its application to biomedical images. …”
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    Article
  18. 2958

    Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

    Published 2025-08-01
    “…Deep learning (DL) based object detection model has been carried out in numerous applications. …”
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    Article
  19. 2959

    Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

    Published 2025-04-01
    “…To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity differences between regular and cherry tomatoes, as well as fruit occlusion. …”
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    Article
  20. 2960

    Pavement pothole detection system based on deep learning and binocular vision by Tian Guan, Jianyuan Cai, Yu Wang, Wei Yang, Xiaobo Chang, Yi Han

    Published 2025-08-01
    “…Finally, vehicle experiments were conducted to verify the effectiveness of the algorithm in meeting detection requirements while considering long-range perception accuracy. …”
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    Article