Search alternatives:
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
task resource » a resource (Expand Search)
binary task » binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
task resource » a resource (Expand Search)
binary task » binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Parameters in algorithms.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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CDF of task latency, approximated as the inverse of the achieved computation rate.
Published 2025Subjects: -
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx
Published 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.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 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
Published 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
Published 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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