Showing 741 - 760 results of 15,770 for search 'Based research algorithms', query time: 0.25s Refine Results
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    Smart System Resource Coordination Algorithm Based on 6G Technology by Fang Wang

    Published 2022-01-01
    “…Moreover, this paper analyzes the coordination of smart system resources and verifies the effect of 6G technology in the coordination of smart system resources through experimental research. The results of experimental research show that the smart system resource coordination algorithm based on 6G technology can effectively improve the resource coordination effect of smart systems and has certain anti-interference, which will promote the construction of smart systems in the future.…”
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  4. 744

    Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

    Published 2021-01-01
    “…The study results of this paper provide a reference for further researches on financial risk early-warning based on K-means clustering algorithm.…”
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  5. 745

    A Closed-loop Detection Algorithm Based on Dynamic Time Warping by ZHU Tian, PENG Zhichuan, ZHANG Zhiteng, ZHU Zemin, XIE Yongbo, WANG Wenming

    Published 2021-01-01
    “…In the research of closed-loop detection, algorithms based on single image matching are drawing great research interests. …”
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    Community-Based Memetic Algorithm for Influence Maximization in Large-Scale Networks by Mithun Roy, Indrajit Pan

    Published 2025-01-01
    “…This study proposes a memetic algorithm based on a community for large-scale social networks. …”
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  11. 751

    A New S-Box Design by Applying Bat Algorithm Based Technique by Maiya Din, Saibal K. Pal, S.K. Muttoo, Sushila Madan

    Published 2023-08-01
    “…In the proposed research work, Bat Algorithm based swarm technique is proposed to design strong S-boxes.  …”
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    Smart Fuzzing method based on comparison algorithm of control flow sequences by Ying WANG, Yi-xian YANG, Xin-xin NIU, Li-ze GU

    Published 2013-04-01
    “…Flowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship between dada search space and program logic space was established.The analyzed results prove that the method is capa of mining a mass of information from group data effectively,and is able to fully util ze the parallelism of genetic algorithm to guide the fuzzing test.…”
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    Smart Fuzzing method based on comparison algorithm of control flow sequences by Ying WANG, Yi-xian YANG, Xin-xin NIU, Li-ze GU

    Published 2013-04-01
    “…Flowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship between dada search space and program logic space was established.The analyzed results prove that the method is capa of mining a mass of information from group data effectively,and is able to fully util ze the parallelism of genetic algorithm to guide the fuzzing test.…”
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    Article
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    ESYN:efficient synchronization clustering algorithm based on dynamic synchronization model by Xue-wen DONG, Chao YANG, Li-jie SHENG, Jian-feng MA

    Published 2014-11-01
    “…Clustering is an important research field in data mining.Based on dynamical synchronization model,an efficient synchronization clustering algorithm ESYN is proposed.Firstly,based on local structure information of a non-vector network,a new concept vertex similarity is brought up to describe the link density between vertices.Secondly,the network is vectoried by OPTICS algorithm and turned into one-dimensional coordination sequence.Finally,global coupling analysis is applied to generalized Kuramoto synchronization model,synchronization radius is increased and the optimal clustering result is automatically selected.The experimental results on a large number of synthetic and real-world networks show that proposed algorithm achieves high accuracy.…”
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