Showing 821 - 840 results of 3,096 for search 'replacement optimization', query time: 0.20s Refine Results
  1. 821

    Optimizing mechanical properties of recycled aggregate concrete with graphene oxide and steel fibers: A predictive approach using ANN and RSM by S. Azhagarsamy, N. Pannirselvam

    Published 2025-06-01
    “…Predictive modeling employing Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) enhances mix design optimization for sustainable construction.…”
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    Article
  2. 822

    Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8 by Jiang Liu, Jingxin Yu, Changfu Zhang, Huankang Cui, Jinpeng Zhao, Wengang Zheng, Fan Xu, Xiaoming Wei

    Published 2025-07-01
    “…Three key innovations address YOLOv8’s limitations: (1) an SE attention module boosts feature representation in cluttered environments, (2) GhostConv replaces standard convolution to reduce computational load by 19% while preserving feature discrimination, and (3) a scale-adaptive WIoU_v2 loss function optimizes gradient allocation for variable-quality data. …”
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  3. 823

    A Rolling Bearing Fault Diagnosis Method Based on Wild Horse Optimizer-Enhanced VMD and Improved GoogLeNet by Xiaoliang He, Feng Zhao, Nianyun Song, Zepeng Liu, Libing Cao

    Published 2025-07-01
    “…Specifically, an improved wild horse optimizer (IWHO) with tent chaotic mapping is employed to automatically optimize critical VMD parameters, including the number of modes <i>K</i> and the penalty factor <i>α</i>, enabling precise decomposition of non-stationary signals to extract weak fault features. …”
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  4. 824

    DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

    Published 2025-01-01
    “…Machine learning models highlighted replacing traditional teaching methods (IncNodePurity = 25.76) and stimulating learning interest (IncNodePurity = 13.08) as the most critical factors influencing learning outcomes. …”
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  5. 825

    Analysis of the Strength Development, CO<sub>2</sub> Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

    Published 2025-02-01
    “…The fly ash replacement rate in each optimized mix design reached the maximum allowable replacement rate. …”
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  6. 826
  7. 827

    Optimization of a sustainable composition of fine-grained concrete for 3D-printing with partial substitution of sand with fly ash and slag waste by Murat A. Rakhimov, Zulfiya A. Aubakirova, Aliya K. Aldungarova, Ignacio Menéndez Pidal de Navascués, Zhangazy N. Moldamuratov

    Published 2025-06-01
    “…Despite some limitations, the study demonstrated the potential of TPP-derived ash and slag waste as a viable component in 3D printing, provided the composition and extrusion parameters are optimized. Conclusion. The results indicate that replacing 25% of sand with fly ash and slag waste is optimal for fine-grained concrete mixtures intended for 3D printing. …”
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  8. 828

    Enhanced PCM melting performance in shell and tube latent heat thermal energy storage systems using optimally positioned porous fins by Alireza Jaberi, Siamak Hossainpour

    Published 2025-09-01
    “…To overcome this limitation, the present study explores the replacement of solid fins with porous fins at various locations within the LHTESS, aiming to identify the optimal fin placement for maximizing the melting rate. …”
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  9. 829
  10. 830
  11. 831

    GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

    Published 2025-06-01
    “…The proposed system implements three key innovations: (1) Architectural optimization through replacement of the Spatial Pyramid Pooling Cross Stage Partial Connections (SPPCSPC) module with GhostSPPCSPC for expanded receptive field representation. (2) Integration of a parameter-free attention mechanism (SimAM) with refined pooling configurations to boost multi-scale detection sensitivity, and (3) Strategic deployment of depthwise separable convolutions (DSC) to reduce computational complexity while maintaining detection fidelity. …”
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  12. 832

    Rational optimization of glycoprotein E (gE)-encoding mRNA for improved Varicella-zoster virus mRNA vaccine development by Lulu Huang, Shun Zhang, Tongyi Zhao, Ting Cai, Lingling Bu, Zhenhua Di, Yujie Zhang, Chen Yang, Yong Yang, Ang Lin

    Published 2024-12-01
    “…Built upon the design of our 1st-generation VZV mRNA vaccine that encodes for full-length gE antigen, in this study we reported on a novel combinatorial strategy to further optimize the gE-encoding mRNA sequence through signal peptide replacement, C-terminal modification, and insertion of mRNA-stabilizing motif, which collectively contributed to significantly improved vaccine immunogenicity. …”
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  13. 833
  14. 834

    Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

    Published 2013-07-01
    “…In Tabu search, many possible solutions have been generated according to the replacement relation between different tiles in initial state to find the optimal solution from many solutions. …”
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  15. 835

    Multi-Objective Optimization Research Based on NSGA-II and Experimental Study of Triplex-Tube Phase Change Thermal Energy Storage System by Yi Zhang, Haoran Yu, Yingzhen Hou, Neng Zhu

    Published 2025-04-01
    “…Energy storage technology is crucial for promoting the replacement of traditional energy with renewable energy and regulating the energy supply–demand relationship. …”
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  16. 836

    Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

    Published 2024-01-01
    “…The algorithm exploits inexact cubic regularization to escape saddle points and guarantees convergence with optimal iteration complexity and high probability. …”
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  17. 837

    Optimal economic and low‐carbon scheduling in integrated energy system considering multi‐level thermal energy coupling and integrated demand response by Yanjun Jing, Mingming Liang, Haixin Wang, Zihao Yang, Gen Li, Fausto Pedro García Márquez, Junyou Yang, Zhe Chen

    Published 2025-04-01
    “…Moreover, the traditional optimal operation method does not consider the impact of expanding a single thermal energy flow into a multi‐level thermal energy flow on the optimal operation results of the system. …”
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  18. 838

    Optimization of Reverse Logistics Networks for Hazardous Waste Incorporating Health, Safety, and Environmental Management: Insights from Large Cruise Ship Construction by Huilin Li, Jiaqi Yang, Wei Zhang

    Published 2025-05-01
    “…A three-phase Levy mutation discrete crow search algorithm (DCSA) was developed, introducing the Levy flight strategy to replace random search and enhance the discretization and solution diversity. …”
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  19. 839
  20. 840

    An improved Harris hawks optimizer with enhanced logarithmic spiral and dynamic factor and its application for predicting molten iron temperature in the blast furnace by Zhendong Liu, Yiming Fang, Le Liu, Shuidong Ma

    Published 2024-12-01
    “…Abstract In response to the problem of poor search performance and difficulty in escaping from the local optimum in the Harris hawks optimizer, an improved Harris hawks optimizer with enhanced logarithmic spiral and dynamic factor (IHHO‐ELSDF) is proposed in this paper. …”
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