Showing 321 - 340 results of 2,171 for search 'Local research algorithm', query time: 0.18s Refine Results
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    Passive localization of signal source based on wireless sensor network in the air by Pengwu Wan, Yongjing Ni, Benjian Hao, Zan Li, Yue Zhao

    Published 2018-03-01
    “…Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. …”
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    Article
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    What works and what does not work in local entrepreneurship support policy? by Jacek Rodzinka, Tomasz Skica, Elżbieta Ociepa-Kicińska, Rafał Czyżycki

    Published 2023-09-01
    “…Implications & Recommendations: This knowledge can and should provide important guidance to decision-makers at the local level, showing tools that may work better in their type of municipality. …”
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    A Fast Map Merging Algorithm in the Field of Multirobot SLAM by Yanli Liu, Xiaoping Fan, Heng Zhang

    Published 2013-01-01
    “…In recent years, the research on single-robot simultaneous localization and mapping (SLAM) has made a great success. …”
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    Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

    Published 2025-04-01
    “…Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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    Approaches for Localizing the Origin of PVCs in the Outflow Tract: Future Perspectives and Challenges by Baiping Sui, Yingjie Ji, Ying Wang, Ling Gao, Minghao Li

    Published 2025-03-01
    “…Recently, with advancements in artificial intelligence, non-invasive localization of IVAs through deep learning has emerged as a research direction. …”
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    The potential & limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

    Published 2025-08-01
    “…This research proposes an alternative CVGL solution, a series of algorithmic operations which can completely automate the calculation of target camera pose via a less common photogrammetry method known as monoplotting, also called single camera resectioning. …”
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    Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm by Shaoming ZHANG, Siqing SHENG

    Published 2020-05-01
    “…Under same conditions, the optimal operation model of the microgrid is solved using the original algorithm and the improved algorithm respectively, and the superiority of the improved algorithm is verified by comparing the solution results.…”
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    Challenges and inequalities in the management of financing the tasks of local government units: a critical analysis by Arkadiusz Ciach

    Published 2024-09-01
    “…Research objectives and hypothesis/research questions The aim is to critically analyze the challenges and inequalities in the management of the financing of the tasks of local government units (LGUs) in Poland, with particular emphasis on the impact of legislative, political, and financial factors on the effectiveness of their tasks. …”
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    Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

    Published 2025-08-01
    “…To address these issues, the current research introduces a hybrid strategy enhanced crayfish optimization algorithm (MSCOA). …”
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    Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms by Bo Liu, Haijia Wen, Mingrui Di, Junhao Huang, Mingyong Liao, Jingyuan Yu, Yutao Xiang

    Published 2025-08-01
    “…This study addresses gaps in aftershock prediction research by proposing an interpretable hybrid machine learning model that leverages multi-source data. …”
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    Article