Showing 781 - 800 results of 2,539 for search 'optimal computing algorithms', query time: 0.11s Refine Results
  1. 781

    Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

    Published 2025-03-01
    “…We also elaborate on the optimization methods of algorithms for different data sources. …”
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    Article
  2. 782
  3. 783

    A Selective Harmonic Current Detection Algorithm Based on Quadrature Theory by LI Yu, LANG Fengjie, MA Zhe, WANG Xutao

    Published 2015-01-01
    “…Aiming at the harmonics current detection methods of power grid, a simple effective harmonics current detection algorithm was introduced based on quadrature theory,and its realization and optimization methods were given. …”
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    Article
  4. 784

    Preface to Special Issue on Scientific Computing and Learning Analytics for Smart Healthcare Systems (Part II) by Chinmay Chakraborty, Sayonara Barbosa, Lalit Garg

    Published 2024-06-01
    “…Optimization algorithms can be applied to acquire sensor data from multiple sources for fast and accurate health monitoring. …”
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    Article
  5. 785

    Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models by Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao

    Published 2025-07-01
    “…Abstract The manta ray foraging optimization (MRFO) algorithm has gained widespread application in engineering problems due to its notable performance and low computational cost. …”
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    Article
  6. 786

    Examining prospective mathematics teachers’ computational thinking through the lens of cognitive style by Swasti Maharani, Ardiana Ardiana, Tri Andari

    Published 2024-04-01
    “…This study underscores the importance of developing CT training programs that are adaptive to students’ cognitive styles in order to optimize their potential in mathematical problem-solving. …”
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    Article
  7. 787

    A Method for Improving Traffic Management Based on Computer Vision and Traffic Simulation by R. Huang, Z. Wang, Y. Lin, T. Du, K. Lu, K. Lu, C. Ding, Y. Zhang

    Published 2025-07-01
    “…This study develops an integrated framework combining computer vision and traffic simulation for optimizing traffic management in high-density urban commercial areas. …”
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    Article
  8. 788
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    An adaptive genetic algorithm with double populations for solving traveling salesman problems by Taishan Yan, Xin Chen, Baoshuang Yan

    Published 2025-07-01
    “…When the TSP in a large scale are solved by traditional optimization methods, the computation is large, the iteration time is long, and the result may not be optimal. …”
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    Article
  10. 790

    KAB: A new k-anonymity approach based on black hole algorithm by Lynda Kacha, Abdelhafid Zitouni, Mahieddine Djoudi

    Published 2022-07-01
    “…Nature-inspired optimization algorithms are effective in finding solutions to complex problems. …”
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    Article
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    MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing by Ducsun Lim, Inwhee Joe

    Published 2024-12-01
    “…This paper presents a novel algorithm to address resource allocation and network-slicing challenges in multiaccess edge computing (MEC) networks. …”
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    Article
  13. 793

    Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

    Published 2013-01-01
    “…The simulation results validate that the proposed algorithm can avoid a large amount of computation work in the visual perception characteristics analysis processing compared with other existing algorithms; it also has better performance in saliency detection for videos and can realize fast saliency detection. …”
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  14. 794

    Digital Art Feature Association Mining Based on the Machine Learning Algorithm by Zhiying Wu, Yuan Chen

    Published 2021-01-01
    “…In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. …”
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    In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

    Published 2025-08-01
    “…As data become increasingly large, diverse and fast-moving, conventional processing systems often fall short of the performance required for modern analytics.Objective: This research seeks to thoroughly assess the performance of two prominent big data processing frameworks-Apache Spark (in-memory computing) and MapReduce (disk-based computing)-with a focus on applying random forest algorithms to predict stock prices. …”
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