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يعرض 201 - 220 نتائج من 812 نتيجة بحث عن '(( element method algorithm ) OR ((( based modeling algorithm ) OR ( based method algorithm ))))', وقت الاستعلام: 0.18s تنقيح النتائج
  1. 201

    Identification of physically based models of residential air-conditioners for direct load control management حسب El-Ferik, S.

    منشور في 2004
    "…An online maximum-likelihood based identification algorithm is developed for A/C, the required hardware and system instrumentation is detailed. …"
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    article
  2. 202
  3. 203

    Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... حسب Ali S. Alghamdi (12722891)

    منشور في 2023
    "…In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. The optimum capacity of EH equipment, including photovoltaic and wind renewable energy sources, a combined heat and power system (CHP), a boiler, energy storage, and electric vehicles is determined in the day-ahead market using the improved Fick’s law algorithm (IFLA), considering the energy profit maximization and also satisfying the linear network and hub constraints. …"
  4. 204
  5. 205

    Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production حسب Wulaer Shaersaikai (21436652)

    منشور في 2025
    "…The Grey Wolf Optimization (GWO) algorithm, which directs the system's optimization process, demonstrates a competitive trade-off between exergy efficiency, freshwater production, costs, NPV, and environmental impact. …"
  6. 206

    Fast Methods Fbr Split Codebooks حسب Elshafei-Ahmed, M

    منشور في 2020
    "…The method is based on a family of fractals called Space-Filling Curves (SFC). …"
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    article
  7. 207

    Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

    منشور في 2023
    "…The proposed feature selection algorithm differs from the existing filter-wrapper hybrid methods in its simplicity and efficiency as well as precision. …"
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  8. 208

    A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis حسب Alaa Abd-Alrazaq (17430900)

    منشور في 2021
    "…Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. …"
  9. 209

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
  10. 210
  11. 211

    Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

    منشور في 2023
    "…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …"
  12. 212

    Approximation algorithms inspired by kernelization nethods حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of reduction rules and combinatorial insights. …"
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    conferenceObject
  13. 213
  14. 214

    A new method of analysis for slender columns حسب Zdenek, P.

    منشور في 1991
    "…Strain irreversibility at unloading can be taken into account but its effect is very small. The method is compared with the AC} moment magnification method and with the CEB model column method based on moment-curvature relations. …"
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  15. 215

    Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

    منشور في 1998
    "…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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  16. 216

    Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

    منشور في 2015
    "…The results also show that the Bee Colony algorithm outperforms other methods on most subject problems.…"
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  17. 217

    A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks حسب Umesh Kumar Lilhore (17727684)

    منشور في 2022
    "…In the simulation, the proposed model achieves 86.7% packet delivery ratio, 12.6% energy consumption, and 10.5% packet drop ratio over existing depth-based routing and energy-efficient depth-based routing methods for underwater wireless sensor network.…"
  18. 218

    Scalable Parallel Algorithms for FPT Problems حسب Abu-Khzam, Faisal N.

    منشور في 2006
    "…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …"
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  19. 219

    Evolutionary algorithm for protein structure prediction حسب Mansour, Nashat

    منشور في 2010
    "…In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …"
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  20. 220

    Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction حسب Ramesh, Jayroop

    منشور في 2024
    "…Digital phantom and clinical datasets are used to evaluate the performance of the models. Results: The results show that the Real-Time Intermediate Flow Estimation (RIFE) algorithm outperforms the others in terms of the Structural Similarity Index Method (SSIM): 0.986 ± 0.010, Peak Signal to Noise Ratio (PSNR): 44.13 ± 2.76, and Mean Square Error (MSE): 18.86 ± 206.90 across all datasets. …"
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    article