Showing 6,221 - 6,240 results of 20,658 for search '"optimization"', query time: 0.08s Refine Results
  1. 6221

    Investigation of Boron Thermal Diffusion from Atmospheric Pressure Chemical Vapor Deposited Boron Silicate Glass for N-Type Solar Cell Process Application by Ikuo Kurachi, Kentaro Yoshioka

    Published 2016-01-01
    “…A boron diffusion simulator has been newly developed and demonstrated for optimization of this process. Then, the boron thermal diffusion from AP-CVD BSG is considered to be the suitable method for N-type silicon solar cell manufacturing.…”
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    Article
  2. 6222

    Distributed Filter with Consensus Strategies for Sensor Networks by Xie Li, Huang Caimou, Hu Haoji

    Published 2013-01-01
    “…Secondly, a novel optimization process to update the consensus weights is proposed based on the information consensus filter. …”
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    Article
  3. 6223

    STATE AS AN INVESTOR AND CUSTOMER IN POSTGRADUATE EDUCATION: NATIONAL RESEARCH UNIVERSITIES NETWORK by Elena B. Mudrova, Elena B. Vinogradova

    Published 2022-05-01
    “…The article presents an organizational solution for optimization of university resources exploitation throughout the process of postgraduate education.…”
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    Article
  4. 6224

    Development of Class IIa Bacteriocins as Therapeutic Agents by Christopher T. Lohans, John C. Vederas

    Published 2012-01-01
    “…Biological and chemical modifications to both stabilize and increase the potency of bacteriocins are discussed, as well as the optimization of their production and purification. The suitability of bacteriocins as pharmaceuticals is explored through determinations of cytotoxicity, effects on the natural microbiota, and in vivo efficacy in mouse models. …”
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    Article
  5. 6225

    Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach by Ossama Abdelkhalik

    Published 2013-01-01
    “…In multigravity-assist trajectories, the hidden genes genetic algorithms demonstrated success in searching for the optimal number of swing-bys and the optimal number of deep space maneuvers. …”
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    Article
  6. 6226

    Data-driven LCA for green industrial innovation of custom curtain walls by Theo Zaffagnini, Luca Morganti

    Published 2022-12-01
    “… The optimization and advanced management of design, engineering, and building construction, aimed at the maximization of environmental performance, are among the innovations facilitated by the tools of the digital transition. …”
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    Article
  7. 6227

    Propulsion aéronautique : études expérimentales de la combustion by Vincent-Randonnier, Axel

    Published 2024-11-01
    “…After recalling the principles and operational scope of this type of engine, as well as the issues encountered in the study of combustion, we will discuss the resources deployed at the National Office for Aerospace Studies and Research (ONERA) to support the development and optimization efforts of engine manufacturers. Recent tests conducted with a new hydrogen-powered injector concept have drastically reduced nitrogen oxide emissions compared to a kerosene-powered engine.…”
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  8. 6228

    A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise by Young-Seok Choi

    Published 2014-01-01
    “…Benefiting from the uses of l1-norm optimization and l0-norm penalty of the weight vector in the cost function, the proposed l0-norm sign SAF (l0-SSAF) achieves both robustness against impulsive noise and remarkably improved convergence behavior more than the classical adaptive filters. …”
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    Article
  9. 6229

    Evaluation of Provincial Economic Resilience in China Based on the TOPSIS-XGBoost-SHAP Model by Zhan Wu

    Published 2023-01-01
    “…The aim of this research is to propose a framework for measuring and analysing China’s economic resilience based on the XGBoost machine learning algorithm, using Bayesian optimization (BO) algorithm, extreme gradient-boosting (XGBoost) algorithm, and TOPSIS method to measure China’s economic resilience from 2007 to 2021. …”
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    Article
  10. 6230

    Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review by Paul Rodríguez

    Published 2013-01-01
    “…We also include the description of the maximum a posteriori (MAP) estimator for each model as well as a summary of general optimization procedures that are typically used to solve the TV problem.…”
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    Article
  11. 6231

    On Fuzzy Portfolio Selection Problems: A Parametric Representation Approach by Omid Solaymani Fard, Mohadeseh Ramezanzadeh

    Published 2017-01-01
    “…Fuzzy portfolio selection problem is a major issue in the financial field and a special case of constrained fuzzy-valued optimization problems (CFOPs). In this respect, the present paper aims to investigate the CFOP with regard to the features of the parametric representation of fuzzy numbers named as convex constraint function (CCF) which is proposed by Chalco-Cano et al. in 2014. …”
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    Article
  12. 6232

    Thermal Aeroelastic Tailoring for Laminated Panel with Lamination Parameters and JAYA Algorithm by Peng Jin, Qihao Zheng, Wei Wei

    Published 2022-01-01
    “…In the second-stage, instead of using conventional genetic algorithm, the enhanced JAYA method is extended to search the laminate configuration to target the optimal lamination parameters. The effectiveness of the presented method is demonstrated through a thermal aeroelastic tailoring problem.…”
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  13. 6233

    Adaptive Array Beamforming Using a Chaotic Beamforming Algorithm by Ana Jovanović, Luka Lazović, Vesna Rubežić

    Published 2016-01-01
    “…This adaptive method based on the optimization of the Least Mean Square algorithm using Chaos theory enables fast adaptation of antenna array radiation pattern, reduction of the noisy reference signal’s impact, and the improvement of the tracking capabilities. …”
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  14. 6234

    Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

    Published 2022-06-01
    “…At the same time, the optimal parameters are automatically searched and adjusted through the Bayesian optimization algorithm to realize classification prediction. …”
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    Article
  15. 6235

    Physics Informed by Deep Learning: Numerical Solutions of Modified Korteweg-de Vries Equation by Yuexing Bai, Temuer Chaolu, Sudao Bilige

    Published 2021-01-01
    “…In this paper, with the aid of symbolic computation system Python and based on the deep neural network (DNN), automatic differentiation (AD), and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization algorithms, we discussed the modified Korteweg-de Vries (mkdv) equation to obtain numerical solutions. …”
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  16. 6236

    Chaos Control and Anticontrol of the Output Duopoly Competing Evolution Model by Zhaoqing Li, Yongping Zhang, Tongqian Zhang

    Published 2017-01-01
    “…Then, the optimal function control method is taken to carry on the chaotic anticontrol to the chaotic system, and the Lyapunov indexes illustrate the control result. …”
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    Article
  17. 6237

    Research on Green Transport Mode of Chinese Bulk Cargo Based on Fourth-Party Logistics by Jixiao Wu, Yinghui Wang, Wenlu Li, Haixia Wu

    Published 2021-01-01
    “…This paper improves the particle swarm optimization algorithm to compare the integrated cost and carbon emissions of different bulk fourth-party transport networks to verify the benefits of the fourth-party logistics on bulk cargo transport networks’ cost reduction and emission reduction. …”
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    Article
  18. 6238

    Analysis of Robust Stability for a Class of Stochastic Systems via Output Feedback: The LMI Approach by Xin-rong Cong, Long-suo Li

    Published 2013-01-01
    “…The problem of the robust stability is solved via static output feedback, and we convert the problem to a constrained convex optimization problem involving linear matrix inequality (LMI). …”
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  19. 6239

    An Improved Integrated Scheduling Algorithm with Process Sequence Time-Selective Strategy by Zhen Wang, Xiaohuan Zhang, Gang Peng

    Published 2021-01-01
    “…The proposed algorithm reduces the runtime of scheduling algorithm and improves the performance of the algorithm without reducing the optimization effect.…”
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    Article
  20. 6240