Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study
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DOI: 10.1007/s11356-018-2219-4
Abstract: Cyanotoxins are a type of cyanobacteria that is poisonous and poses a health threat in waters that could be used for drinking or recreational purposes. Thus, it is necessary to predict their presence to avoid… read more here.
Keywords: using gradient; gradient; boosted regression; prediction ... See more keywords
Mineral grade estimation using gradient boosting regression trees
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DOI: 10.1080/17480930.2021.1949863
Abstract: Resources estimation is one of the critical tasks to evaluate the economic feasibility of a mineral deposit. Traditional prediction workflows, which often involve kriging and inverse distance weigh... read more here.
Keywords: mineral grade; estimation using; boosting regression; grade estimation ... See more keywords
Imaging stretching and displacement using gradient-index elements during the lens design process.
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DOI: 10.1364/oe.477805
Abstract: In this study, we propose an approach to stretch or translate images using gradient-index (GRIN) elements with a rotationally symmetric shape in lens systems. In this method, the GRIN material, instead of optical surfaces, are… read more here.
Keywords: grin elements; using gradient; gradient index; image ... See more keywords
Estimation of Gourami Supplies Using Gradient Boosting Decision Tree Method of XGBoost
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DOI: 10.18421/tem101-17
Abstract: The need for food supplies are very crucial in a food business, therefore it is necessary to estimate the right supplies to maximize profit. One of the methods to determine these is by looking for… read more here.
Keywords: gradient boosting; supplies using; decision tree; gourami supplies ... See more keywords