Showing 441 - 460 results of 1,810 for search '((( resources OR resources) detection function ) OR ( sources detection function ))', query time: 0.28s Refine Results
  1. 441

    Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

    Published 2025-05-01
    “…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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  2. 442
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  4. 444

    Multivariate GWAS analysis reveals loci associated with liver functions in continental African populations. by Chisom Soremekun, Tafadzwa Machipisa, Opeyemi Soremekun, Fraser Pirie, Nashiru Oyekanmi, Ayesha A Motala, Tinashe Chikowore, Segun Fatumo

    Published 2023-01-01
    “…<h4>Conclusions</h4>Using multivariate GWAS method improves the power to detect novel genotype-phenotype associations for liver functions not found with the standard univariate GWAS in the same dataset.…”
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  5. 445

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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  8. 448

    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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  9. 449
  10. 450

    YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

    Published 2025-05-01
    “…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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  11. 451

    Application of CRISPR-Cas System in Human Papillomavirus Detection Using Biosensor Devices and Point-of-Care Technologies by Chang He, Yongqi Li, Jinkuan Liu, Zhu Li, Xue Li, Jeong-Woo Choi, Heng Li, Shan Liu, Chen-zhong Li

    Published 2025-01-01
    “…Therefore, the development of rapid, high-throughput, and sensitive HPV detection platforms is important, especially in regions with limited access to advanced medical resources. …”
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  14. 454

    Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

    Published 2025-01-01
    “…In experiments with semisynthetic images, we evaluate the method on key cataloging tasks: light source detection, star/galaxy separation, and flux measurement. …”
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  15. 455

    Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

    Published 2018-01-01
    “…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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  16. 456

    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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  17. 457

    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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  18. 458

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

    Published 2024-01-01
    “…First, the CIOU regression loss function in YOLOv8s is replaced with the WIoUv2 regression loss function, effectively alleviating the negative impact of uneven distribution of positive and negative samples during model training through a more balanced gradient gain distribution strategy, which significantly improves detection accuracy. …”
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  19. 459

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

    Published 2025-01-01
    “…It employs an enhanced genetic algorithm (GA) with a unique fitness function, dynamic crossover, and adaptive mutation strategies to achieve model compression, maintain accuracy, and balance exploration and exploitation during evolution. …”
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  20. 460

    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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