Search alternatives:
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
linac based » lines based (Expand Search)
based case » base case (Expand Search), based cancer (Expand Search)
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
linac based » lines based (Expand Search)
based case » base case (Expand Search), based cancer (Expand Search)
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Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.
Published 2025Subjects: -
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MSE for ILSTM algorithm in binary classification.
Published 2023“…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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DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf
Published 2024“…<p>Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. …”
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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. …”
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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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: