THE METHOD OF THE OPTIMIZATION OF MATERIAL FLOWS FOR FUNCTIONING OF THE RECOVERY SYSTEM


Food safety implementation in the perspective of network learning

The food sector frequently faces difficulties in implementing food safety standards.Indeed, there are many barriers to appropriation of quality management standards which make effective implementation difficult for small and medium enterprises (SMEs), such as limited access to information, lack of financing and cognitive resources, food hazard perc

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Research on road surface crack detection based on SegNet network

Abstract To ALL Round Saddle enhance the precision and reliability of road crack detection, this study introduces an innovative neural network architecture.Strategies were implemented to effectively address the issue of overfitting resulting from the intricacy of the proposed SegCrackNet.Dropout layers, multi-level output fusion, and T-bridge block

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Airborne LTA Nanozeolites Characterization during the Manufacturing Process and External Sources Interaction with the Workplace Background

Engineered nanoscale amorphous silica nanomaterials are widespread and used in many industrial sectors.Currently, some types of silicon-based nanozeolites (NZs) have been synthesized, showing potential advantages compared to the analogous micro-forms; otherwise, few studies are yet available regarding their potential toxicity.In this respect, the a

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