بدائل البحث:
material optimization » bayesian optimization (توسيع البحث), spatial optimization (توسيع البحث), rational optimization (توسيع البحث)
case optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), dose optimization (توسيع البحث)
based material » based materials (توسيع البحث), base material (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary case » binary mask (توسيع البحث), binary image (توسيع البحث), primary case (توسيع البحث)
case case » base case (توسيع البحث), based case (توسيع البحث), case based (توسيع البحث)
material optimization » bayesian optimization (توسيع البحث), spatial optimization (توسيع البحث), rational optimization (توسيع البحث)
case optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), dose optimization (توسيع البحث)
based material » based materials (توسيع البحث), base material (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary case » binary mask (توسيع البحث), binary image (توسيع البحث), primary case (توسيع البحث)
case case » base case (توسيع البحث), based case (توسيع البحث), case based (توسيع البحث)
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…Algorithm 1, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0281618#sec013" target="_blank">Materials and methods</a>). …"
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MSE for ILSTM algorithm in binary classification.
منشور في 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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Analysis and design of algorithms for the manufacturing process of integrated circuits
منشور في 2023"…From this, we propose: (i) a new ILP model, and (ii) a new solution representation, which, unlike the reference work, guarantees that feasible solutions are obtained throughout the generation of new individuals. Based on this new representation, we proposed and evaluated other approximate methods, including a greedy algorithm and a genetic algorithm that improve the state-of-the-art results for test cases usually used in the literature. …"