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process optimization » model optimization (Expand Search)
while optimization » whale optimization (Expand Search), wolf optimization (Expand Search), phase optimization (Expand Search)
waste process » waste processing (Expand Search), step process (Expand Search), whole process (Expand Search)
binary waste » binary data (Expand Search), binary mask (Expand Search)
binary b » binary _ (Expand Search)
b while » b whole (Expand Search), a while (Expand Search)
process optimization » model optimization (Expand Search)
while optimization » whale optimization (Expand Search), wolf optimization (Expand Search), phase optimization (Expand Search)
waste process » waste processing (Expand Search), step process (Expand Search), whole process (Expand Search)
binary waste » binary data (Expand Search), binary mask (Expand Search)
binary b » binary _ (Expand Search)
b while » b whole (Expand Search), a while (Expand Search)
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Thesis-RAMIS-Figs_Slides
Published 2024“…From the results obtained across these three real scenarios explored in this thesis, it is possible to see that the proposed methodology achieves better performances than sampling in a structured regular grid (used as a conventional rule for sampling) in terms of both error in image reconstruction and global economic value, when considering the economic revenue of processing the ore and dumping the waste. <br><br>It is important to emphasize that no previous work have addressed the optimal sensing problem covered in this thesis for characterization of geological fields in the context of \emph{<i>MPS</i>}. …”
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PathOlOgics_RBCs Python Scripts.zip
Published 2023“…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …”
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Table 1_Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.docx
Published 2025“…Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …”