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Showing 61 - 80 results of 2,921 for search 'while optimization method', query time: 0.10s Refine Results
  1. 61

    A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

    Published 2025-08-01
    “…In this study, we present a data-driven framework that employs machine learning to predict droplet size and generation frequency, while simultaneously optimizing device geometry. …”
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    Article
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    A new type of sustainable operation method for urban rail transit: Joint optimization of train route planning and timetabling by Guorong Fan, Chao Li, Xinyun Shao, Fangzheng Zhen, Yao Huang

    Published 2025-12-01
    “…Results show that the joint optimization model demonstrates more effective adaptability to the passenger flow characteristics while enhancing the quality of train operation plan compared with traditional methods. …”
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    Article
  6. 66

    A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

    Published 2025-01-01
    “…Compared to conventional phase error calibration methods in a two-step iterative framework, our proposed method considers image features and parameter coupling relationships, thus achieving higher precision estimation while saving computational costs. …”
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    Article
  7. 67

    Operating parameter optimization and experiment of spiral outer grooved wheel seed metering device based on discrete element method by Tao Zhang, Xinglong Tang, Cong Dai, Guiying Ren

    Published 2025-08-01
    “…This demonstrates the reliability of optimizing the parameters of the spiral outer grooved wheel seed metering device through theoretical analysis and the discrete element method.…”
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    Article
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    Ultrasound and microwave assisted extraction of acorn oil (Quercus brantii): Optimization and characterization by Samaneh Niari, Nasser Hamdami, Mohsen Dalvi-Isfahan, Alain Le-Bail

    Published 2025-06-01
    “…This study aimed to optimize the extraction parameters and increase the oil yield, by comparing both microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE) methods of extracting acorn oil (Quercus brantii). …”
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    Article
  10. 70
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    Impact of sales methods on profitability in the Japanese software industry: Resource allocation perspectives by Takaaki Ishikawa, Kiminori Gemba, Tetsuaki Oda

    Published 2025-02-01
    “…This study investigates how sales methods, service management, and resource allocation influence the operating profit margins of Japanese software companies, with a focus on marketing strategies and profitability improvement. …”
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    Article
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    Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

    Published 2019-01-01
    “…In this paper, a method to maximize the utilization of the renewables while maximizing the profit of a smart community within system constraints was suggested by introducing an optimum schedule of smart appliances in the community. …”
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    Article
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    Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA by Hongyi Wu, Haozhen Li, Xuanyi Wang, Junshou Yang, Runze Jiang, Xiaolei Deng, Jianchen Wang

    Published 2025-07-01
    “…Compared with the traditional research methods for optimizing machine tool beds, the FEA technology can handle more complex geometric shapes and boundary conditions, improve the accuracy and reliability of data, and enhance the optimization efficiency through the Taguchi method, achieving multi-objective joint optimization. …”
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    Article
  17. 77

    Optimization of Adaptive I<sup>2</sup>H &#x221E; Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

    Published 2025-01-01
    “…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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    Article
  18. 78

    Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia by Shunyu Li, Jing Zhang, Yu He, Gang Lv, Ying Liu, Xiangxie Hu, Zhiyang Wang, Xuan Ao

    Published 2025-04-01
    “…This study proposed a two-stage, capacity-optimization configuration method for user-level energy systems considering thermal inertia and user satisfaction. …”
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    Article
  19. 79

    Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

    Published 2025-06-01
    “…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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    Article
  20. 80

    Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

    Published 2025-08-01
    “…Using this methodology in SWE retrieval applications, this method can be used to simplify snowpacks and reduce the number of variables to optimize while maintaining similar scattering behavior without compromising the modeled snowpack properties. …”
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    Article