بدائل البحث:
implement modeling » element modeling (توسيع البحث), element modelling (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
te algorithm » tide algorithm (توسيع البحث), new algorithm (توسيع البحث), de algorithms (توسيع البحث)
element te » element _ (توسيع البحث), element g (توسيع البحث), element data (توسيع البحث)
implement modeling » element modeling (توسيع البحث), element modelling (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
te algorithm » tide algorithm (توسيع البحث), new algorithm (توسيع البحث), de algorithms (توسيع البحث)
element te » element _ (توسيع البحث), element g (توسيع البحث), element data (توسيع البحث)
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Calculation algorithm implementing the proposed model.
منشور في 2025"…<p>Calculation algorithm implementing the proposed model.</p>…"
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Convergence curve of the DBO algorithm.
منشور في 2025"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
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The block diagram of the ASO algorithm implementation for inverse modeling.
منشور في 2025"…<p>The block diagram of the ASO algorithm implementation for inverse modeling.</p>…"
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Real-time implementation of the proposed model.
منشور في 2025"…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
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Model’s measure methods.
منشور في 2025"…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…"
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Comparison of the optimal solutions between analytical model and genetic algorithm.
منشور في 2024الموضوعات: -
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Cost functions implemented in Neuroptimus.
منشور في 2024"…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …"
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The results of implementing the models.
منشور في 2024"…Radiomics features were extracted from each image and finally, the machine learning models were implemented on these features. The used machine learning algorithms are Gradient Tree Boosting (GBM), eXtreme Gradient Boosting (XGBoost), and Light GBM. …"
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