Predicting machine's performance record using the stacked long shortâterm memory (LSTM) neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13558
Abstract: Abstract Purpose The record of daily quality control (QC) items shows machine performance patterns and potentially provides warning messages for preventive actions. This study developed a neural network model that could predict the record and… read more here.
Keywords: machine; record; stacked lstm; machine performance ... See more keywords
Fast Visualization of 3D Massive Data Based on Improved Hilbert R-Tree and Stacked LSTM Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3051911
Abstract: With the explosive growth of scientific data, significant challenges exist with respect to the interaction of large volumetric datasets. To solve these problems, we propose a visualization algorithm based on the Hilbert R-tree improved by… read more here.
Keywords: stacked lstm; massive data; fast visualization; hilbert tree ... See more keywords