Search alternatives:
property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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MSE for ILSTM algorithm in binary classification.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”
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DE algorithm flow.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.
Published 2025Subjects: -
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Test results of different algorithms.
Published 2025“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”