ASSORTMENT OF PUMPKIN (CUCURBITA PEPO L.) OF BELARUSIAN SELECTION FOR THE PRODUCTION OF PUMPKIN OIL


Credit Card Fraud Detection Using AdaBoost and Majority Voting

Credit card fraud is a serious problem in financial services.Billions of dollars are lost due to credit card fraud every year.There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues.In this paper, machine learning algorithms are used to detect credit card fraud.Standard models are Bedspread first

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Application of acoustic emission and scleroscopy for the analysis of carbon fiber-reinforced plastic samples with different degrees of matrix curing

Samples made of a 1.6 mm thick carbon fiber-reinforced plastic sheet with different curing modes were loaded in the elastic region according to the cantilever Hair Set bending scheme.Acoustic emission was recorded using an oscilloscope.The microhardness characteristics were used as criteria evaluating the degree of matrix curing which was evaluated

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Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method

Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread.Satellite observations provide the potential for monitoring FFL dynamics across large areas.Previous studies commonly used empirical methods to estimate FFL, which potentially lacks reproducibility.This study applied Landsat Stick 7 ETM+ and 8 OLI

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