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  1. 821
  2. 822

    Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

    Published 2022-01-01
    “…To enhance the optimization ability of DE in optimizing black box problems with unknown features, a differential evolution with autonomous selection of mutation strategies and control parameters (ASDE) is proposed in this paper, inspired by autonomous decision-making mechanism of reinforcement learning. …”
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    Article
  3. 823

    Selection of brake control valves for brake system of freight car by set of criteria by D. A. Kazarinova, G. V. Gogrichiani

    Published 2016-12-01
    “…The method can be successfully applied for an objective selecting of other complex devices of brake system (brake control valves for passenger rolling stock, antiskid devices, etc.), when the number of considered comparing criteria is large enough. …”
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  4. 824
  5. 825

    Selected physical and mechanical properties of twelve-year old garden teak in Ghana by Peter Kessels Dadzie, Paul Benedict Inkum, Isaac Sampson, Obed Persie Appiah-Kubi, Osei Asibey

    Published 2025-05-01
    “…This study therefore evaluated the physical and mechanical properties of 12-year-old teak using ASTM and BS standards to determine whether 12-year-old, garden-grown teak has density and mechanical properties comparable to those of mature plantation-grown teak, and whether it is suitable for light structural applications. Ten trees were selected from home environments in the Ashanti Region of Ghana. …”
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    Article
  6. 826

    Active Multifunctional Frequency Selective Surfaces: An Insight Into Design, Behavior Analysis, and Applications by Harienthiran Maheswaran, Gulam Nabi Alsath Mohammed, Geethanjali Govindarajan, Malathi Kanagasabai, Kirubaveni Savarimuthu, Sandeep Kumar Palaniswamy, Sachin Kumar, Bhawna Goyal, Mousa I. Hussein

    Published 2025-01-01
    “…This investigation provides a critical review of the design methodologies for multifunctional active frequency selective surfaces (MAFSSs) and reconfigurable frequency selective surfaces (RFSSs), collectively referred to as active multifunctional frequency selective surfaces (AMFSSs). …”
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    Article
  7. 827

    Selective adsorption mechanisms of typical SF₆ decomposition products on Fe-doped graphene by Chengjiang Wang, Xuze Wang, Xiangjia Liu, Feiyang Xie, Pengdi Zhang

    Published 2025-07-01
    “…These theoretical insights highlight the selectivity and sensitivity of transition metal-doped graphene nanomaterials for multi-component SF6 decomposition gas detection.…”
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  8. 828

    Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

    Published 2018-01-01
    “…Most beam selection algorithms determine the best beam according to the methods of feedback and exhaustive search in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. …”
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    Article
  9. 829

    Effects of the German Due Diligence Act on Supplier Selection in the Agri-Food Sector by Jürgen von Heyden, Vicco von Bülow, Sarah Iweala, Achim Spiller

    Published 2025-06-01
    “…Future suppliers to the German agri-food sector will need to provide more detailed information on human rights and environmental risks. Additionally, companies have become more selective in their choice of certification and verification schemes. …”
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    Article
  10. 830

    A navigation satellite selection algorithm for optimized positioning based on Gibbs sampler by Na Xia, Qinan Zhi, Menghua He, Yunqing Hong, Huazheng Du

    Published 2020-06-01
    “…In various applications of satellite navigation and positioning, it is a key topic to select suitable satellites for positioning solutions to reduce the computational burden of the receiver in satellite selection system. …”
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  11. 831
  12. 832

    Performance analysis of the Next Eleven countries regarding climate change for the selected years by Nuray Tezcan

    Published 2024-11-01
    “…In this study, the performance scores obtained for the selected years were compared. Thus, it is observed whether there is an improvement in the performance scores of the countries during the analysis period.…”
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    Article
  13. 833

    Determining the importance levels of criteria in selection of sustainable building materials and obstacles in their use by Gülnaz Şengül Güneş, Serkan Yıldız

    Published 2024-06-01
    “…The study revealed the criteria for sustainable material selection and the barriers to sustainable material use in a holistic manner. …”
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    Article
  14. 834

    Discovering Key Successful Factors of Mobile Advertisements Using Feature Selection Approaches by Kai-Fu Yang, Venkateswarlu Nalluri, Chun-Cheng Liu, Long-Sheng Chen

    Published 2025-05-01
    “…Additionally, feature selection techniques have recently gained traction in big data analysis, addressing the limitations inherent in traditional statistical approaches. …”
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    Article
  15. 835

    Method of Credit Fraud Detection by Combining Sub-graph Selection and Neighborhood Filtering by TANG Xiaoyong, WANG Haodong

    Published 2025-02-01
    “…Therefore, researchers propose a graph neural network model that integrates reconstruction subgraph selection and reinforced neighborhood filtering (RSRF-GNN) for large-scale Internet financial credit dynamic graphs. …”
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  16. 836

    Variable selection in omics data: A practical evaluation of small sample sizes. by Alexander Kirpich, Elizabeth A Ainsworth, Jessica M Wedow, Jeremy R B Newman, George Michailidis, Lauren M McIntyre

    Published 2018-01-01
    “…In omics experiments, variable selection involves a large number of metabolites/ genes and a small number of samples (the n < p problem). …”
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  17. 837
  18. 838

    Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves by Bo Xing, Zujun Yu, Xining Xu, Liqiang Zhu, Hongmei Shi

    Published 2020-01-01
    “…Among them, mode 1 is the best, which verifies the correctness of the mode selection model. In addition, vertical cracks are manufactured artificially on the side of the rail bottom. …”
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  19. 839
  20. 840

    Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

    Published 2025-01-01
    “…We further compare certified and empirical robustness, identifying a significant gap that suggests the need for improved certification methods. Additionally, in our antenna selection setting, we observe that removing monotonic activations in the final layer improves certified robustness.…”
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