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  1. 3801

    Detection and Optimization of Traffic Networks Based on Voronoi Diagram by Rui Tao, Jian Liu, Yuqing Song, Rui Peng, Dali Zhang, Jiangang Qiao

    Published 2021-01-01
    “…With accurate information about traffic peaks, transportation administrators can make better decisions to optimize the traffic networks and therefore enhance the performance of transportation systems. …”
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    Article
  2. 3802
  3. 3803

    Achieving Equity via Transfer Learning With Fairness Optimization by Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang

    Published 2024-01-01
    “…This can lead to increased discriminatory outcomes and hinder efforts to develop truly fair AI systems. This paper proposes Transfer Learning with Fairness Optimization (TLFO), a novel framework that serially optimizes predictive performance and fairness in machine learning models. …”
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  4. 3804
  5. 3805

    Optimization design of structure invulnerability in space information network by Fei-hong DONG, Jing LV, Xiang-wu GONG, Chao LI

    Published 2014-10-01
    “…Combined with the space information network architecture design requirements,a novel optimization design technology was proposed,which could achieve strongly network structure invulnerability.The natural connectivity was analyzed and selected as the invulnerability measure.In addition,a modified artificial immune algorithm was proposed based on the natural connectivity and the immune review.Results show that the proposed method improves the network invulnerability performance and provides a better robustness compared with typical space information systems in link failure mode and node failure mode.…”
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    Article
  6. 3806

    Optimization design of structure invulnerability in space information network by Fei-hong DONG, Jing LV, Xiang-wu GONG, Chao LI

    Published 2014-10-01
    “…Combined with the space information network architecture design requirements,a novel optimization design technology was proposed,which could achieve strongly network structure invulnerability.The natural connectivity was analyzed and selected as the invulnerability measure.In addition,a modified artificial immune algorithm was proposed based on the natural connectivity and the immune review.Results show that the proposed method improves the network invulnerability performance and provides a better robustness compared with typical space information systems in link failure mode and node failure mode.…”
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    Article
  7. 3807
  8. 3808
  9. 3809

    Magnetic Coil’s Performance Optimization with Nonsmooth Search Algorithms by Igor Reznichenko, Primož Podržaj, Aljoša Peperko

    Published 2025-08-01
    “…This research is concerned with design optimization of control systems. Our case study deals with magnetic levitation, in which an essential part is a solenoid. …”
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    Article
  10. 3810

    OPTIMIZATION OF STEPPER MOTOR CONTROL IN VARIOUS OPERATING MODES by O. I. Laktionov, A. S. Yanko

    Published 2025-07-01
    “…This lays the groundwork for further research in the development of adaptive control systems, energy consumption optimization, and the expansion of the functional capabilities of robotic complexes.…”
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    Article
  11. 3811

    Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy by Hossein Azadinejad, Mohammad Farhadi Rad, Ahmad Shariftabrizi, Arman Rahmim, Hamid Abdollahi

    Published 2025-02-01
    “…This approach offers personalized, systemic, and durable treatment, making it effective in cancers resistant to conventional therapies. …”
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    Article
  12. 3812
  13. 3813

    Review on Application and Optimization of Cooling Technology for Cooling Tower by Yu Zhikang, Wu Wencong, Huang Shifang, Zhang Xiaosong

    Published 2024-01-01
    “…Various methods have been reviewed for performance optimization, including model, structural, and operational optimization. …”
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    Article
  14. 3814

    Umbrella Refinement of Ensembles—An Alternative View of Ensemble Optimization by Johannes Stöckelmaier, Tümay Capraz, Chris Oostenbrink

    Published 2025-06-01
    “…In this study, we present a method to optimize a conformational ensemble using Bayes’ theorem in connection with a methodology derived from Umbrella Sampling. …”
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  15. 3815

    Optimization of Hydrogen Supercritical Oxy-Combustion in Gas Turbines by Sylwia Oleś, Jakub Mularski, Dariusz Pyka, Halina Pawlak-Kruczek, Artur Pozarlik

    Published 2025-01-01
    “…This study provides valuable information on optimizing the design of supercritical combustion chambers for hydrogen combustion in novel supercritical gas turbine systems.…”
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    Article
  16. 3816

    Review of studies on the design optimization of hydraulic cartridge valves by Xiangshuo Xi, Qingfeng Wang

    Published 2024-11-01
    “…The objective of this paper is to propose research concepts for the design optimization of hydraulic cartridge valves by analyzing the current literature and thereby boost the performance of hydraulic cartridge valve systems. …”
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  17. 3817

    Electrodynamics-based quantum gate optimization with born scattering by Kumar Gautam, Chang Wook Ahn

    Published 2024-10-01
    “…Furthermore, this approach can also be extended to design gates for multi-qubit systems, which are essential for large-scale quantum computing. …”
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  18. 3818
  19. 3819

    Simple optimization method for partitioning purification of hydrogen networks by W.M. Shehata, A.M. Shoaib

    Published 2015-03-01
    “…In this work, El Halwagi et al. (2003) and El Halwagi (2012) optimization methods which are used for recycle/reuse integration systems have been extended to be used in the partitioning purification of hydrogen networks to minimize the hydrogen consumption and the hydrogen discharge. …”
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  20. 3820

    Reward-optimizing learning using stochastic release plasticity by Yuhao Sun, Yuhao Sun, Wantong Liao, Wantong Liao, Jinhao Li, Jinhao Li, Xinche Zhang, Xinche Zhang, Guan Wang, Guan Wang, Zhiyuan Ma, Zhiyuan Ma, Zhiyuan Ma, Sen Song, Sen Song

    Published 2025-08-01
    “…Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. …”
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    Article