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Showing 461 - 480 results of 1,810 for search '((( resource OR resources) detection functions ) OR ( source detection functions ))', query time: 0.34s Refine Results
  1. 461

    A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

    Published 2025-03-01
    “…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. …”
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    Article
  2. 462

    Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

    Published 2024-12-01
    “…The result shows higher accuracy of 91.8 % for the vulnerability detection and model explainability outcome is highly influenced by “vulnerable”, “function”, ''mysql_tmpdir_list'', “strmov” tokens using both SHAP and LIME framework. …”
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  3. 463

    GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

    Published 2025-04-01
    “…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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    Article
  4. 464
  5. 465

    Hierarchical Deep Learning Model Optimization Using Enhanced Evolutionary-based Approach for Fake News Detection by Deepti Nikumbh, Anuradha Thakare

    Published 2025-01-01
    “…However, these models are often complex, with numerous trainable parameters, making them resource-intensive. This work introduces the Deep Learning Model with Evolutionary Computing Approach (DLECA), a novel method for compressing and optimizing hierarchical deep learning models (HDLM). …”
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    Article
  6. 466

    Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

    Published 2024-12-01
    “…In agriculture and forestry, pest detection is critical for increasing crop yields and reducing economic losses. …”
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    Article
  7. 467

    Improved Building Information Modeling Based Method for Prioritizing Clash Detection in the Building Construction Design Phase by Iman Bitaraf, Ali Salimpour, Pedram Elmi, Ali Akbar Shirzadi Javid

    Published 2024-11-01
    “…The proposed method substantially improves clash detection and prioritization efficiency and accuracy, yielding considerable benefits in project management and resource allocation.…”
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    Article
  8. 468

    YOLOv8-CBSE: An Enhanced Computer Vision Model for Detecting the Maturity of Chili Pepper in the Natural Environment by Yane Ma, Shujuan Zhang

    Published 2025-02-01
    “…Additionally, SRFD and DRFD modules are introduced to replace the original convolutional layers, effectively capturing features at different scales and enhancing the diversity and adaptability of the model through the feature fusion mechanism. To further improve detection accuracy, the EIoU loss function is used instead of the CIoU loss function to provide more comprehensive loss information. …”
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    Article
  9. 469

    MDA-DETR: Enhancing Offending Animal Detection with Multi-Channel Attention and Multi-Scale Feature Aggregation by Haiyan Zhang, Huiqi Li, Guodong Sun, Feng Yang

    Published 2025-01-01
    “…Conflicts between humans and animals in agricultural and settlement areas have recently increased, resulting in significant resource loss and risks to human and animal lives. …”
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    Article
  10. 470

    YOLOv10-kiwi: a YOLOv10-based lightweight kiwifruit detection model in trellised orchards by Jie Ren, Wendong Wang, Yuan Tian, Jinrong He

    Published 2025-08-01
    “…To address the challenge of real-time kiwifruit detection in trellised orchards, this paper proposes YOLOv10-Kiwi, a lightweight detection model optimized for resource-constrained devices. …”
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  11. 471

    Let ants find them: Using ants as eDNA samplers for detecting the invasive spotted lanternfly by Wei-Jiun Lin, Fang-Ling Chloe Liu, Lucie Cho, Chin-Cheng Scotty Yang

    Published 2025-04-01
    “…Compared to non-ant insects, ants exhibited higher SLF DNA concentrations, suggesting that honeydew ingestion serves as the primary eDNA source. These findings demonstrate that ants can function as efficient SLF eDNA samplers, providing a scalable and cost-effective alternative to existing SLF detection methods.…”
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    Article
  12. 472

    Enhancing Shiga toxin detection using surface plasmon resonance a study of antibody immobilization strategies by Zahra Karbalaee, Ali Hossein Rezayan, Ramezan Ali Taheri, Seyed Ali Mirhosseini, Mohammad Barshan-Tashnizi

    Published 2025-05-01
    “…The approach demonstrates particular promise for rapid, label-free detection of bacterial toxins in resource-limited settings.…”
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  13. 473
  14. 474

    Pequi-Derived Carbon Dots as a Fluorescence Quenching Sensor for Sensitive Detection of Fe3+ Ions by B. P. Oliveira, I. M. Sampaio, J. J. P. Oliveira, S. V. Carneiro, R. A. Antunes, P. B. A. Fechine, F. O. M. S. Abreu

    Published 2025-04-01
    “…This study presents the pequi (Caryocar coriaceum) as a new biomass source for carbon dots synthesis. The pequi almond, usually discarded, was used as the biomass precursor in one-step hydrothermal green synthesis of carbon dots. …”
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  15. 475

    PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

    Published 2024-01-01
    “…Second, the CSPPC module replaces the original C2f module in the neck network, reducing the number of parameters and stabilizing model accuracy while lowering computational complexity and resource consumption. Finally, a new head layer P2-SLD was designed, which replaced the original detection head with a shared lightweight detection head SLD, introduced the P2 layer and removed the P5 layer, which improved the lightweight level of the model, improved the processing efficiency and reduced the energy consumption while ensuring the detection accuracy. …”
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  16. 476

    Abstract 260: TCD Bubble test as a Screening tool for detection of Patent Foramen Ovale in Stroke by Danish Ahammed PK, Paul Alapatt, Aiswarya Raj, Ashraf VV, Shafeed Mattummal

    Published 2023-11-01
    “…Results TCD Bubble test was detected to be positive in 36 patients and negative in 27 patients. …”
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  17. 477

    Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

    Published 2025-06-01
    “…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. …”
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  18. 478
  19. 479

    Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

    Published 2025-01-01
    “…These gap factors make the research on hypertensive retinopathy urgent since it requires an early detection model to improve treatment accuracy and prevent heart attacks and strokes before they happen. …”
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  20. 480

    Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

    Published 2023-01-01
    “…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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