بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
rate learning » game learning (توسيع البحث), face learning (توسيع البحث), maze learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
rate learning » game learning (توسيع البحث), face learning (توسيع البحث), maze learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
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code&data
منشور في 2025"…The study identified outdoor sports facilities in Shanghai using advanced deep-learning techniques on remote sensing data. It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …"
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Data and code.
منشور في 2025"…The results demonstrate that the VMD-BILSTM-AEAM algorithm achieves a mean True Positive Rate (TPR) of 0.919 with a 95% confidence interval of 0.915 to 0.924, a mean False Positive Rate (FPR) of 0.090 with a 95% confidence interval of 0.087 to 0.092, and a mean Area Under the Curve (AUC) of 0.919 with a 95% confidence interval of 0.915 to 0.923. …"
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G R code algorithm.
منشور في 2024"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"
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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm.
منشور في 2025"…Increasing values of κ flattening the relationship between prediction errors and learning rates, leading to lower learning rates for a given magnitude of the prediction error. …"
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Dual deconvolution algorithm: analysis code with experimental data
منشور في 2025"…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …"
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Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance
منشور في 2025"…<p dir="ltr">The accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. …"
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Effects of processing rate and algorithms performance on estimates of biodiversity.
منشور في 2025الموضوعات: -
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