Showing 981 - 1,000 results of 31,041 for search '"strategy"', query time: 0.09s Refine Results
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    Research on design strategies for wellness towns from the perspective of spatial resilience by Guang-Da Xu, Xiao-Xiao Tong

    Published 2025-01-01
    “…Based on spatial resilience theory, this paper explores strategies for enhancing the design of wellness towns. …”
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    Research and response strategies on the impact of goaf collapse on overhead transmission lines by Siqing Xu, Xiaokai Meng, Shuai Wang, Zhumao Lu, Wen Shang

    Published 2025-01-01
    “…Through a detailed analysis of surface deformation, the study reveals the laws and characteristics of surface deformation in goaf areas and proposes corresponding coping strategies. At the same time, it emphasizes the importance of precise monitoring, structural optimization design, long-term monitoring and maintenance, and emergency plan formulation to ensure the stable operation of the power system.…”
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    Priority Control Strategy of VSC-MTDC System for Integrating Wind Power by Wen-ning Yan, Ke-jun Li, Zhuo-di Wang, Xin-han Meng, Jianguo Zhao

    Published 2015-01-01
    “…The priority control strategy is proposed in this paper considering the penetration rate of wind power for the AC grid. …”
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    A Look at the Reproduction Strategies of Costa Rican Households, 1990 – 2015 by Natalia Carballo Murillo

    Published 2024-01-01
    Subjects: “…social reproduction strategies…”
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    Digital twin based intelligent urban traffic forecasting and guidance strategy by Xiwen LIAO, Supeng LENG, Yujun MING, Tianyang LI

    Published 2023-03-01
    “…As the technology of ubiquitous Internet of things and artificial intelligence improves by leaps and bounds, the transportation system revolution is flourishing and bringing new opportunities and challenges.Considering the defect in the existing navigation system, and the neglect of the temporal and spatial characteristics of traffic flow, the macro traffic network and micro vehicle network were modeled and their coupling relationship was mined.Then, a digital twin based urban traffic forecasting and guidance method was proposed to alleviate the problem of traffic congestion.The spatial-temporal traffic flow information was predicted through the diffusion convolution recurrent neural network, which was explicitly applied to the vehicle path planning decision.On this basis, a spatial-temporal collaborative deep reinforcement learning method was proposed to implement the future-oriented collaborative path planning of vehicles.It also guided the underlying vehicle twins to select the optimal strategy for the real world.With SUMO for simulation verification, the experimental results show that the proposed method is significantly better than the existing algorithms in improving the travel completion ratio and congestion relief, and can improve the efficiency of urban traffic travel.…”
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    Revitalizing the heart: strategies and tools for cardiomyocyte regeneration post-myocardial infarction by Axelle Bois, Catarina Grandela, James Gallant, Christine Mummery, Philippe Menasché

    Published 2025-01-01
    “…This review explores strategies for heart regeneration, offers insights into cardiomyocyte proliferation, evaluates in vivo models, and discusses integrating in vitro human cardiac models to advance cardiac regeneration research.…”
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    Visual Tracking Using Max-Average Pooling and Weight-Selection Strategy by Suguo Zhu, Junping Du

    Published 2014-01-01
    “…In this paper, max-average pooling method and Weight-selection strategy are proposed with a hybrid framework, which is combined with sparse representation and particle filter, to exploit the spatial information of an object and make good compromises to ensure the correctness of the results in this framework. …”
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    A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy by Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, Jin Liu

    Published 2014-01-01
    “…In addition, we design a new trap detection and jumping out strategy to help particles escape from local optima. …”
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