بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithms » pacing algorithms (توسيع البحث), nine algorithms (توسيع البحث), sorting algorithms (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
using algorithms » pacing algorithms (توسيع البحث), nine algorithms (توسيع البحث), sorting algorithms (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
element » elements (توسيع البحث)
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Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Results on solving TSS using different evolutionary and greedy algorithms.
منشور في 2025"…<p>Results on solving TSS using different evolutionary and greedy algorithms.…"
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Comparison of planning results for different uncertainty quantification methods.
منشور في 2025الموضوعات: -
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Scatter diagram of different principal elements.
منشور في 2025"…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …"
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Comparison of algorithm performance aesults.
منشور في 2025"…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …"
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