RESEARCH ON AN INTELLIGENT CLASSIFICATION ALGORITHM OF FERROGRAPHY WEAR PARTICLES BASED ON INTEGRATED RESNET50 AND SEPVIT

Research on an Intelligent Classification Algorithm of Ferrography Wear Particles Based on Integrated ResNet50 and SepViT

The wear particle classification algorithm proposed is based on an integrated ResNet50 and Vision Transformer, aiming to address the problems of a complex background, overlapping and similar characteristics of wear particles, low classification accuracy, and the difficult identification of small target wear particles in the region.Firstly, an ESRGA

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Metabolite profiling of somatic embryos of Cyclamen persicum in comparison to zygotic embryos, endosperm and testa

Somatic embryogenesis has been shown to be an efficient in vitro plant regeneration system for many crops such as the important ornamental plant Cyclamen persicum, for which this regeneration pathway of somatic embryogenesis is of interest for the vegetative propagation of parental lines as well as elite plants.However, somatic embryogenesis is not

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