بدائل البحث:
recommendation algorithm » segmentation algorithm (توسيع البحث), reconstruction algorithm (توسيع البحث), segmentation algorithms (توسيع البحث)
process recommendation » provides recommendations (توسيع البحث), provide recommendations (توسيع البحث), poi recommendation (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
image model » damage model (توسيع البحث), primate model (توسيع البحث), climate model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
recommendation algorithm » segmentation algorithm (توسيع البحث), reconstruction algorithm (توسيع البحث), segmentation algorithms (توسيع البحث)
process recommendation » provides recommendations (توسيع البحث), provide recommendations (توسيع البحث), poi recommendation (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
image model » damage model (توسيع البحث), primate model (توسيع البحث), climate model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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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.…"
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22
DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
منشور في 2024"…Logistic regression emerged as the optimal machine learning algorithm for both DLR models. …"
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23
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24
Data Sheet 1_Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites.docx
منشور في 2025"…<p>Snow cover is recognized as one of the most variable land cover parameters and plays a critical role in the global energy balance, climate change, and hydrological processes. Polar-orbiting satellites serve as the primary data source for monitoring both polar and global snow cover, providing wide coverage and high spatial resolution products. …"
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