VALORIZATION OF FRUIT WASTE FOR BIOACTIVE COMPOUNDS AND THEIR APPLICATIONS IN THE FOOD INDUSTRY


Using artificial intelligence elements in research of physical and chemical processes of production of converter steel

The article is devoted to the presentation of the results of applying the methods of mathematical statistics to establish the possibility of calculating the carbon content in a metal melt after oxygen conversion of cast iron in converters with a capacity of 300 tons with combined blowing.The creation of converter smelting control systems depends on

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Habitat Fragmentation and Native Bees: a Premature Verdict?

Few studies directly address the consequences of habitat fragmentation for communities of pollinating insects, particularly for the key pollinator group, bees (Hymenoptera: Apiformes).Bees typically live in habitats where nesting substrates and bloom are patchily distributed and spatially dissociated.Bee studies have all defined habitat fragments a

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Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks

Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple leaf diseases that severely affect apple yield.However, the existing research lacks an accurate and fast detector of apple diseases for ensuring the healthy development of the apple industry.This paper proposes a deep learning approach that is based on impr

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