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Found 4 papers, 0 papers with code
Virtual Scientific Companion for Synchrotron Beamlines: A Prototype
In this work, we introduce the prototype of virtual scientific companion (VISION) and demonstrate that it is possible to control basic beamline operations through natural language with open-source language model and the limited computational resources at beamline.
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images.
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes in x-ray scattering images.
X-ray Scattering Image Classification Using Deep Learning
In this paper, we explore the use of deep learning to develop methods for automatically analyzing x-ray scattering images.
