VARIATION CHARACTERISTICS OF MASS-LOSS RATE IN DYNAMIC SEEPAGE SYSTEM OF THE BROKEN ROCKS


AI Diffusion Model-Based Technology for Automating the Multi-Class Labeling of Electron Microscopy Datasets of Brain Cell Organelles for Their Augmentation and Synthetic Generation

A technology for the automatic multi-class labeling of brain electron microscopy (EM) objects needed to create large synthetic datasets, which could be used for brain cell segmentation tasks, is proposed.The main research tools were a generative diffusion AI model and a U-Net-like segmentation model.The technology was studied on the segmentation ta

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Discovering invariants via machine learning

Invariants and conservation laws convey critical information about the underlying dynamics of a system, yet it is bostik mvp generally infeasible to find them from large-scale data without any prior knowledge or human insight.We propose ConservNet to achieve this goal, a neural network that spontaneously discovers a conserved quantity from grouped

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