بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
method algorithms » two algorithms (توسيع البحث), both algorithms (توسيع البحث), other algorithms (توسيع البحث)
elements method » element method (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
end modeling » 3d modeling (توسيع البحث), ann modeling (توسيع البحث), cfd modeling (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
method algorithms » two algorithms (توسيع البحث), both algorithms (توسيع البحث), other algorithms (توسيع البحث)
elements method » element method (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
end modeling » 3d modeling (توسيع البحث), ann modeling (توسيع البحث), cfd modeling (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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Reliability diagram for prediction of murmurs using HSMM confidence difference.
منشور في 2024الموضوعات: -
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Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution"
منشور في 2025"…<p dir="ltr">Under climate change, it seems that extreme rainfalls occur more frequently around the world, posing significant threats to the lives of people and the safety of properties. To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …"
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Separation of murmur, normal, and poor signal quality signals using HSMM confidences.
منشور في 2024الموضوعات: -
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Scatter diagram of different principal elements.
منشور في 2025"…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …"
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