Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
area optimization » art optimization (Expand Search), based optimization (Expand Search), after optimization (Expand Search)
binary using » injury using (Expand Search)
using area » using real (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
area optimization » art optimization (Expand Search), based optimization (Expand Search), after optimization (Expand Search)
binary using » injury using (Expand Search)
using area » using real (Expand Search)
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Summary of existing CNN models.
Published 2024“…<div><p>This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. …”
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Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.
Published 2025Subjects: -
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Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.
Published 2025Subjects: -
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Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.
Published 2025Subjects: -
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
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Algorithm for generating hyperparameter.
Published 2024“…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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