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bayesian optimization » based optimization (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based models » based model (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
i bayesian » _ bayesian (Expand Search), a bayesian (Expand Search), 95 bayesian (Expand Search)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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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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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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Classification results for all subsampling scenarios and algorithms for Gefitinib.
Published 2021Subjects: -
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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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