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  1. 681

    Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

    Published 2025-06-01
    “…Two machine learning models including MLP with activation function σ and decision tree with entropy criterion were implemented. …”
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    Article
  2. 682

    Optimal Operation of CCHP Smart Distribution Grid with Integration of Renewable Energy by Ghassan A. Bilal, Mohammed K. Al-Saadi, Ghaidaa A. Al-Sultany, Wisam Abed Kattea Al-Maliki

    Published 2025-01-01
    “…Recently, electric distribution grids supply not only electric loads but also heating and cooling loads simultaneously to increase the efficiency of the system and reduce the emission of greenhouse gases. …”
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  3. 683

    Optimal Capacity Configuration of Residential Solar-Hydrogen Coupling Energy System with Hydrogen Vehicle Load by Zhenlan DOU, Chunyan ZHANG, Huirong ZHAO, Yuqi YAO, Daogang PENG

    Published 2023-07-01
    “…Secondly, by setting the capacity of the equipment in the system as the optimization variable, and the minimization of annual investment cost of the system as the objective function, the reliability of energy supply and other factors as the constraints, the system optimal capacity configuration model is established. …”
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  4. 684

    Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

    Published 2024-11-01
    “…This study aims to optimize a reliable and efficient trajectory by minimizing the Mean-Excess Flight Time (MEFT). …”
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    Article
  5. 685

    Convolutional neural networks for accurate estimation of canopy cover by F. Puig, R. Gonzalez Perea, A. Daccache, M.A. Soriano, J.A. Rodríguez Díaz

    Published 2025-03-01
    “…Canopy Cover (CC) is a key variable in agriculture, providing critical information on crop growth and health. …”
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  6. 686

    A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

    Published 2025-04-01
    “…Notably, the approach achieves substantial reductions in power losses during peak demand periods with distributed generation incorporation while maintaining voltage profiles within the stringent operational bounds of 0.94 to 1.0 per unit, thus ensuring stability amidst variable load conditions. Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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    Article
  7. 687

    Food Supply Chain: A Framework for the Governance of Digital Traceability by Maria Bonaria Lai, Daniele Vergamini, Gianluca Brunori

    Published 2025-06-01
    “…Under the context of increasing demand for transparency, efficiency, and trust in food systems, digital traceability is emerging as a key strategy for improving value creation across agri-food supply chains. …”
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    Article
  8. 688

    Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm by Leticia Amador-Angulo, Oscar Castillo, Patricia Melin, Zong Woo Geem

    Published 2024-12-01
    “…The efficiency of a fuzzy WOA with a GT2FLS (FWOA-GT2FLS) is highlighted by presenting the excellent results of the case study of the benchmark function optimization. …”
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    Article
  9. 689

    Analysis of heat transfer in Casson fluid flow due to aligned flat plate with leading edge accretion and slip boundary conditions by Jaganathan Jayaprakash, Vediyappan Govindan, Haewon Byeon

    Published 2025-04-01
    “…This comparative study shows that non-Newtonian fluids improve heat retention, thermal stability, and energy efficiency. They enhance solutal mixing, reduce fouling, lower surface friction, and improve flow control, making them ideal for industrial applications. …”
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    Article
  10. 690

    Parameter Calculation and Rotor Structure Optimization Design of Solid Rotor Induction Motors by Hao Xu, Jinghong Zhao, Sinian Yan

    Published 2025-05-01
    “…On this basis, with efficiency, power factor, starting torque and starting current as the optimization objectives, and the number of slots, slot depth, slot width, squirrel cage material and end ring thickness as the optimization variables, the optimization schemes of slotted rotor and squirrel cage rotor are obtained by using the three-dimensional finite element method. …”
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  11. 691

    Sustitución parcial de alimento balanceado comercial por saccharina rústica en pollo de engorde by Dixon Fabián Flórez-Delgado, Jesús Esteban Fonseca-García, Dubel Reinaldo Cely-Leal

    Published 2022-12-01
    “…Polynomial regression and the derivative of a quadratic function were used to determine the optimal saccharina level. …”
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    Article
  12. 692

    Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods by Betül Mete, Sinan Nacar, Adem Bayram, Osman Tuğrul Bak

    Published 2023-01-01
    “…Considering the efficiency values, it has been understood that the use of date information as an independent variable will positively affect the model performance in the stream TSS modeling studies. …”
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  13. 693

    Preventive-Corrective Control for Static Voltage Stability Under Multiple <tex>$N-1$</tex> Contingencies Considering Wind Power Uncertainty by Yuerong Yang, Shunjiang Lin, Qiong Wang, Mingbo Liu, Qifeng Li

    Published 2025-01-01
    “…The chance constraints of the static voltage stability margins (SVSMs) in the normal operation state and after each <tex>$N-1$</tex> contingency are included. The approximate functions between the probability density functions (PDFs) of SVSMs and load shedding quantity with respect to preventive control variables are obtained to transform the expectation of load shedding quantity and the SVSM chance constraints into deterministic expressions. …”
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    Article
  14. 694

    Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis by Merve Üngör, Osman Taha Sen, Akif Yavuz, Cemal Baykara

    Published 2025-05-01
    “…Camshafts in internal combustion engines are critical components not only for mechanical functionality but also for dynamic performance and vibration characteristics. …”
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  15. 695

    Fuzzy Controller Design Optimized by the Grasshopper Algorithm to Realize Maximum Power in Photovoltaic Systems by Kamran Safaei, Aida Esmaeilian-Marnani, Hossein Emami, Amir Hossein Zaeri

    Published 2024-08-01
    “…In this paper, the ISE evaluation index is employed as the cost function of algorithm to verify the obtained results. …”
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  16. 696

    定中心距齿轮参数优化设计 by 李云鹏, 张科, 邓晓丽

    Published 2012-01-01
    “…Under the constant center distance conditions,according to the use of the transmission system requirements,selection of the appropriate design variables,constraint conditions and the objective function and using the complex method,the tooth parameters optimization design is carried out.Through the program,the optimized tooth parameter is calculated,the design efficiency is improved.…”
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  17. 697

    Stability and vibration analyses of tapered columns resting on one or two-parameter elastic foundations by Masoumeh Soltani, Foudil Mohri

    Published 2014-12-01
    “…Then, the shape functions are obtained exactly by deriving the deformation shape of the column as power series form. …”
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  18. 698

    A Novel Multiobjective Evolutionary Algorithm Based on Regression Analysis by Zhiming Song, Maocai Wang, Guangming Dai, Massimiliano Vasile

    Published 2015-01-01
    “…The result shows that MMEA-RA outperforms RM-MEDA and NSGA-II on the test instances with variable linkages. At the same time, MMEA-RA has higher efficiency than the other two algorithms. …”
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  19. 699

    Fast and Accurate Numerical Integration of the Langevin Equation with Multiplicative Gaussian White Noise by Mykhaylo Evstigneev, Deniz Kacmazer

    Published 2024-10-01
    “…It is shown that the efficiency of such simulations can be significantly enhanced by incorporating the skewness of the distribution of the updated state variable. …”
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  20. 700

    Sensitivity to Instruction Strategies in Motor Learning Is Predicted by Anterior–Posterior TMS Motor Thresholds by Michael L. Perrier, Kylee R. Graham, Jessica E. Vander Vaart, W. Richard Staines, Sean K. Meehan

    Published 2025-06-01
    “…Recent transcranial magnetic stimulation (TMS) studies suggest that variability in interneuron recruitment by anterior–posterior (AP) currents is linked to differences in functional connectivity between premotor and motor regions. …”
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    Article