Showing 661 - 680 results of 1,810 for search '((\ sources detection functions\ ) OR (( source OR resources) detection function\ ))', query time: 0.33s Refine Results
  1. 661

    ENHANCEMENT OF SENSOR PANEL TACTILE TOUCH INTERFACE by Oleksandr Karpin, Zinovii Liubun, Vasyl Mandziy, Oleh Tereshchuk, Nestor Hotsiy

    Published 2025-03-01
    “…The proposed classification algorithm exhibits satisfactory accuracy in identifying the two signals within a minimal timeframe and requires minimal computational resources. Therefore, it can be employed cost-effectively to enhance the functionality of touch panels. …”
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    High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8 by Siqi Niu, Xiaolin Xu, Ao Liang, Yuliang Yun, Fengqi Hao, Jinqiang Bai, Wenyi Sheng, Dexin Ma

    Published 2025-05-01
    “…Lastly, the loss function was replaced with Inner_SIoU, which was more suitable for small-object detection tasks. …”
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    Rapid Detection of Trace Toxicants in Blood Using Thermal Desorption Coupled to Continuous Atmospheric Pressure Interfaced Ion Trap Mass Spectrometry by Hui-wen RUAN, Gui-yun SONG, Zhi-gang FAN, Suo-suo YANG, Jian KANG, Lei HUA, Wei-guo WANG

    Published 2025-07-01
    “…Given its cost-effectiveness and ease of operation, this instrument holds significant potential for widespread application in county-level hospitals with limited analytical resources, enabling rapid diagnosis of acute poisoning, real-time monitoring of drug levels, and disease detection. …”
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  11. 671

    An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

    Published 2025-08-01
    “…This biosensor is designed to facilitate the highly sensitive and selective detection of GFAP in human serum. In contrast to conventional neuroimaging methods, which are resource-intensive and frequently inaccessible in emergency situations, this innovative biosensor offers a portable, cost-effective, and efficient alternative for rapid GFAP measurement. …”
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    Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains by Yuze Shan, Xi Lu, Shizhuo Wang, Hao Cong, Qi Wang, Jiahui Yu, Yiting Xiao, Nan Jiang, Lifei Chen, Yunwei Zhou

    Published 2024-01-01
    “…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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  14. 674

    HGCS—A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines by Ruchao Liao, Xionggang Li, Jinchao Guo, Wenxing Sun, Guoqiang Li

    Published 2024-01-01
    “…The HGCS algorithm in comparison to the existing algorithms uses the innovative hybrid approach, exploiting the strengths of different components to get an optimal balance between computational efficiency and resource utilization. These results show that HGCS is a robust choice to deal with fault detection in less time with a fair distribution of resources.…”
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    Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

    Published 2025-03-01
    “…Its main function is to use computer vision technology to make correct and fair judgments on controversial decisions in badminton matches. …”
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    Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

    Published 2025-06-01
    “…With the purpose to bring up the extraction efficiency and accuracy of building construction image component information, the dense block structure and loss function were proposed to optimize the deep supervised object detection algorithm, and an adaptive building construction component extraction model based on this algorithm was constructed. …”
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