Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 model » _ model (Expand Search), a model (Expand Search), 3d model (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 model » _ model (Expand Search), a model (Expand Search), 3d model (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. 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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Features selected by optimization algorithms.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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