Search alternatives:
detection optimization » reaction optimization (Expand Search), generation optimization (Expand Search), distortion optimization (Expand Search)
case detection » cancer detection (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data swarm » data share (Expand Search)
detection optimization » reaction optimization (Expand Search), generation optimization (Expand Search), distortion optimization (Expand Search)
case detection » cancer detection (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data swarm » data share (Expand Search)
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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. …”
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LITNET-2020 data splitting approach.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
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Comparison of intrusion detection systems.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
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Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model
Published 2019“…Because of the semipredictive nature of the symmetric eNRTL-SAC model, the segment parameter regression is a critical step for solubility prediction accuracy. A particle swarm optimization algorithm is incorporated to preregress conceptual segment parameters of solutes. …”
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Summary of LITNET-2020 dataset.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”