Search alternatives:
processing simulation » process simulation (Expand Search), processing visualization (Expand Search), docking simulation (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
qsar model » sir model (Expand Search), var model (Expand Search)
processing simulation » process simulation (Expand Search), processing visualization (Expand Search), docking simulation (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
qsar model » sir model (Expand Search), var model (Expand Search)
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QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm
Published 2020“…The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”
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Thesis-RAMIS-Figs_Slides
Published 2024“…Importantly, this strategy locates samples adaptively on the transition between facies which improves the performance of conventional \emph{<i>MPS</i>} algorithms. In conclusion, this work shows that preferential sampling can contribute in \emph{<i>MPS</i>} even at very small sampling regimes and, as a corollary, demonstrates that prior models (obtained form a training image) can be used effectively not only to simulate non-sensed variables of the field, but to decide where to measure next.…”