بدائل البحث:
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based models » based model (توسيع البحث)
binary task » binary mask (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
task based » risk based (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based models » based model (توسيع البحث)
binary task » binary mask (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
task based » risk based (توسيع البحث)
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Parameters in algorithms.
منشور في 2023"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025الموضوعات: -
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DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx
منشور في 2022"…In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. …"
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Comparison of line planning results.
منشور في 2023"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"
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Classification results for all subsampling scenarios and algorithms for Gefitinib.
منشور في 2021الموضوعات: -
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
منشور في 2020"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"
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