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learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
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learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
common optimization » codon optimization (Expand Search), carbon optimization (Expand Search), cosmic optimization (Expand Search)
binary deep » binary depot (Expand Search), ternary deep (Expand Search)
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
Published 2025Subjects: -
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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 2025“…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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Summary of LITNET-2020 dataset.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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SHAP analysis for LITNET-2020 dataset.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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Comparison of intrusion detection systems.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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Parameter setting for CBOA and PSO.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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NSL-KDD dataset description.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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The architecture of LSTM cell.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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The architecture of ILSTM.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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Parameter setting for LSTM.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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LITNET-2020 data splitting approach.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”
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Transformation of symbolic features in NSL-KDD.
Published 2023“…The results showed that the proposed ILSTM algorithm outperformed the original LSTM and other related deep-learning algorithms regarding accuracy and precision. …”