PREDICTING FIELD EFFICIENCY OF ROUND-BALING OPERATIONS IN HIGH-YIELDING BIOMASS CROPS


Prune Deep Neural Networks With the Modified $L_{1/2}$ Penalty

Demands to deploy deep neural network (DNN) models on mobile devices and embedded systems have drastically grown in recent years.When transplanting DNN models to such platforms, requirements pertaining to computation and memory use are bottlenecks.To overcome them, network pruning has been BLADDER CONTROL TEA carefully studied as a method of networ

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Female gender and Helicobacter pylori infection, the most important predisposition factors in a cohort of gastric cancer: A longitudinal study

Background: Gastric cancer (GC) is one of the most common Cancers in the world and Helicobacter pylori (HP) infection is considered a causative factor.The aim of this study was to determine the characteristics and the associated factors of (GC) in a small cohort.Methods: Overall, 54 patients with diagnosed gastric cancer were followed-up at the Dep

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Research progress and prospect of marine carbon sink

The ocean has great potential as a carbon sink.Under the background of global climate change, marine carbon sink is an effective way to build ecological civilization and achieve carbon neutrality in the new era, and has received extensive attention from academia.As an efficient long-term carbon sink, the carbon sink mechanism, carbon sink effect, c

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