Suchergebnisse - "multisource data fusion algorithm"

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  1. 1

    A Multisource PNT Fusion Algorithm Based on a Variance Genetic Model von Hu, Qing, Jia, Jing, Zhu, Yue, Cao, Jingyun, Li, Jinyuan

    ISSN: 1598-6446, 2005-4092
    Veröffentlicht: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.04.2022
    “… As one of the long-term challenges faced by the International Maritime Organization (IMO), the global navigation satellite system (GNSS) has become …”
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  2. 2

    Research and primary evaluation of an automatic fusion method for multisource tooth crown data von Dai, Ning, Li, Dawei, Yang, Xu, Cheng, Cheng, Sun, Yuchun

    ISSN: 2040-7939, 2040-7947, 2040-7947
    Veröffentlicht: England Wiley Subscription Services, Inc 01.11.2017
    “… With the development of 3‐dimensional (3D) scanning technologies in dentistry, high accuracy optical scanning data from the crown and cone beam computed …”
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  3. 3

    Exploration of a network security situational awareness model based on multisource data fusion von Li, Xingguo, Zhong, Yu

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.12.2023
    Veröffentlicht in Neural computing & applications (01.12.2023)
    “… With the continuous expansion of the network scale, network technology is also constantly developing. However, with the continuous deterioration of the …”
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  4. 4

    A comprehensive analysis method for adverse geology in tunnels based on geological information and multi-source geophysical data von Wang, Peng, Zhang, Shi-shu, Chen, Wei-dong, Xue, Yi-guo, Qu, Zi-ming, Xiao, Hua-bo, Su, Mao-xin, Zhang, Kai

    ISSN: 1672-7975, 1993-0658
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
    Veröffentlicht in Applied geophysics (01.03.2025)
    “… Advanced geological prediction is a crucial means to ensure safety and efficiency in tunnel construction. However, different advanced geological forecasting …”
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  5. 5

    Complex Evidence Theory for Multisource Data Fusion von Xiao, Fuyuan, Wen, Junhao, Pedrycz, Witold, Aritsugi, Masayoshi

    ISSN: 2998-3363, 2998-3371
    Veröffentlicht: 30.09.2024
    Veröffentlicht in Chinese Journal of Information Fusion (30.09.2024)
    “… Data fusion is a prevalent technique for assembling imperfect raw data coming from multiple sources to capture reliable and accurate information …”
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