بدائل البحث:
complement system » component system (توسيع البحث), complex system (توسيع البحث)
system algorithm » custom algorithm (توسيع البحث), sssgm algorithm (توسيع البحث), systematic algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
level » levels (توسيع البحث)
complement system » component system (توسيع البحث), complex system (توسيع البحث)
system algorithm » custom algorithm (توسيع البحث), sssgm algorithm (توسيع البحث), systematic algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
level » levels (توسيع البحث)
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Distribution of demand points by level.
منشور في 2024"…Then, the epsilon constraint method was used to address the multi-objective model, followed by designing the genetic algorithm based on the problem characteristics for solutions. …"
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Subscripts and parameters used in TSSN.
منشور في 2025"…Using the Lanzhou-Xi’an high-speed railway corridor as a case study, we apply a genetic algorithm combined with a nested Frank-Wolfe method to solve the model. …"
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Number of markers by categories for the different parameters used in clustering phase.
منشور في 2024الموضوعات: -
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The interaction effects among perceived landscape factors and land use mix.
منشور في 2025الموضوعات: -
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Comparison of PCQI, IQE, and IQM experimental results using different methods.
منشور في 2025الموضوعات: -
296
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Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx
منشور في 2025"…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …"
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