بدائل البحث:
processing simulation » process simulation (توسيع البحث), processing visualization (توسيع البحث), docking simulation (توسيع البحث)
simulation algorithm » segmentation algorithm (توسيع البحث), maximization algorithm (توسيع البحث), selection algorithm (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
qsar » sar (توسيع البحث)
processing simulation » process simulation (توسيع البحث), processing visualization (توسيع البحث), docking simulation (توسيع البحث)
simulation algorithm » segmentation algorithm (توسيع البحث), maximization algorithm (توسيع البحث), selection algorithm (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
qsar » sar (توسيع البحث)
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QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm
منشور في 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
منشور في 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.…"