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  1. 841

    Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs by Lingjie Yi, Xianzhong Xie, Yi Wan, Bo Jiang, Junfan Chen

    Published 2024-01-01
    “…In comparison to the original model, the proposed optimization methods result in an average decrease of 1.2% in accuracy. …”
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    Article
  2. 842

    An effective lossless compression method for attitude data with implementation on FPGA by Fangxing Lyu, Zekang Xiong, Fei Li, Ying Yue, Nan Zhang

    Published 2025-04-01
    “…Abstract The attitude angles of the drilling tool serve as crucial information for transmitting Measurement While Drilling (MWD) data, enabling the optimization of drilling performance and ensuring tool safety. …”
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    Article
  3. 843

    Improve the Intelligent Convenience of Multivariate Optimization of Concrete Mix Ratio and the Development of Corresponding Applications by Zhanfei Yang, Bin Chen, Jianfen Zhou, Saihua Huang

    Published 2024-01-01
    “…The results show that the error between the measured value and the design value is basically within 15%, which meets the design requirements. The method can reduce the time and cost of concrete production, with the cost per cubic meter after optimization is 3.5–8 CHY lower than the concrete mix calculated by the conventional method. …”
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    Article
  4. 844

    Design and Parameter Optimization of Trajectory Correction Control Strategy for Air Duct Structure Projectile by Silin Cui, Xing Liu, Shoushan Jiang, Wei Wu

    Published 2023-01-01
    “…In order to make the new air duct structure trajectory correction projectile have good dynamic correction control effect, the control strategy of the projectile’s correction mechanism is studied in this paper. A design method of trajectory correction control strategy based on particle swarm optimization-cuckoo search (PSO-CS) hybrid algorithm is proposed to obtain the optimal control parameters that can make the projectile flight stable and correct accurately. …”
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    Article
  5. 845

    Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

    Published 2025-06-01
    “…The algorithm reduces heat/electricity losses and operational costs under diverse conditions while enhancing load utilization rates. These results validate IFEMOAFSA’s effectiveness in solving annual load optimization challenges for cogeneration systems, showing promising applications for similar multi-objective optimization problems requiring dynamic adaptability and robust convergence properties.…”
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    Article
  6. 846

    Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer by Yiao Zhan, Linwei Wang, Di Zhou

    Published 2025-04-01
    “…The proposed FTOC guidance law employs a nonlinear, non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions, avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods. …”
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    Article
  7. 847

    Topology-Optimized Latent Heat Battery: Benchmarking Against a High-Performance Geometry by Arsham Mortazavi, Matteo Morciano, Pietro Asinari, Eliodoro Chiavazzo

    Published 2025-07-01
    “…The validated numerical model from that study was adopted as the reference and used in a 2D topology optimization study based on the Solid Isotropic Material with Penalization (SIMP) method. …”
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    Article
  8. 848

    Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines by GUO Jingfan

    Published 2025-07-01
    “…[Objective] To minimize passenger travel time while reducing operational costs for enterprises, it is necessary to identify an optimal balance between these two competing objectives. …”
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    Article
  9. 849

    Optimizing frequency stability with adaptive fast frequency reserves and Wide-Area Monitoring Systems by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen

    Published 2025-10-01
    “…Simulation results demonstrate the effectiveness of the adaptive FFR approach in improving frequency stability compared to conventional methods, while the Lyapunov-based stability ensures robust behavior during transient disturbances. …”
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    Article
  10. 850

    Time-Optimal Stabilization of Asynchronous Boolean Control Networks Under State and Control Constraints by Haonan Wang, Shuping Wang, Ruohai Xi, Shuhua Gao

    Published 2025-01-01
    “…This paper investigates the problem of time-optimal stabilization in Boolean control networks (BCNs) with an asynchronous update scheme, subject to state and control constraints. …”
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    Article
  11. 851

    Joint Optimization Algorithm for UAV-Assisted Caching and Charging Based on Wireless Energy Harvesting by Yumeng Zhu, Qi Zhu

    Published 2025-04-01
    “…The joint optimization problem is divided into three subproblems, which use the Lagrange multiplier method, a simulated annealing algorithm, and a particle swarm optimization algorithm. …”
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    Article
  12. 852

    QUADRATIC PROGRAMMING: AN OPTIMIZATION TOOL FOR BUILDING GLOBAL MINIMUM VARIANCE PORTFOLIO WITH NO SHORT SALE by Nurwahidah Nurwahidah

    Published 2021-06-01
    “…The GMVP with positive asset allocation based on Markowitz model can be built by using quadratic programming with interior point method. The main theory applied in this research is Markowitz portfolio optimization model. …”
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    Article
  13. 853

    Optimization Technique for Renewable Energy Storage Systems for Power Quality Analysis with Connected Grid by R. Senthil Kumar, B. V. S. Acharyulu, P. K. Dhal, Richa Adlakha, Sonu Kumar, C. Saravanan, Krishna Bikram Shah

    Published 2023-01-01
    “…This paper suggests a new optimization method for day-ahead trading and control in DC microgrid power management (MG). …”
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    Article
  14. 854

    Automated Workflow of the Re-Design and Topology Optimization of a Wrist Hand Splint for Additive by M. Farih, M. Ouardouz

    Published 2024-01-01
    “…After finite element analysis, we evaluate the mechanical properties of the topologically optimized design. The results confirm that the proposed approach offers significant improvements in raw material consumption while maintaining the strength and ventilation required for patient comfort. …”
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    Article
  15. 855

    Multiphysics coupling analysis and structure optimization of flux switching permanent magnet linear motors by Wei Du, Lili Sun, Zengqiang Ma

    Published 2025-07-01
    “…Topology optimization methods are implemented to achieve significant mass reduction while preserving essential performance characteristics, with the bidirectional evolutionary structural optimization approach achieving 22.4% weight reduction. …”
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    Article
  16. 856

    Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

    Published 2025-01-01
    “…Haze removal is essential for improving image visibility in applications like autonomous vehicles and surveillance. While models like GridDehazeNet enhance dehazing performance, our research emphasizes that selecting appropriate image data and application methods is even more crucial. …”
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    Article
  17. 857

    Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling by Wenpeng Yuan, Lin Guan

    Published 2025-03-01
    “…To address the electric vehicle (EV) charging scheduling problem in rural distribution networks, this study proposes a novel two-phase optimization strategy that combines particle swarm optimization (PSO) and Q-learning for global optimization and real-time adaptation. …”
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  18. 858
  19. 859

    Impact of monitor unit optimization in volumetric modulated arc therapy planning for nasopharyngeal carcinoma. by Huaqu Zeng, Zhen Li, Zongyou Chen, Shukui Tang, Qifu Lin, Minzhi Zhong, Zunbei Wen

    Published 2025-01-01
    “…<h4>Purpose</h4>To evaluate the impact of monitor units (MUs) optimization on volumetric modulated arc therapy (VMAT) plan for nasopharyngeal carcinoma (NPC).…”
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    Article
  20. 860

    Pareto Optimal Solutions for Stochastic Dynamic Programming Problems via Monte Carlo Simulation by R. T. N. Cardoso, R. H. C. Takahashi, F. R. B. Cruz

    Published 2013-01-01
    “…Instead of using the expected values of the objective function, the randomness nature of the decision variables is kept along the process, while Pareto fronts weighted by all quantiles of the objective function are determined. …”
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