Related references
Note: Only part of the references are listed.Reducing Sedative-Hypnotics Among Hospitalized Patients: a Multi-centered Study
Christine Soong et al.
JOURNAL OF GENERAL INTERNAL MEDICINE (2022)
An improved multi-channel graph convolutional network and its applications for rotating machinery diagnosis
Chaoying Yang et al.
MEASUREMENT (2022)
Bearing fault diagnosis method based on a multi-head graph attention network
Li Jiang et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2022)
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Tianfu Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
End-to-end CNN plus LSTM deep learning approach for bearing fault diagnosis
Amin Khorram et al.
APPLIED INTELLIGENCE (2021)
Multilayer limited penetrable visibility graph for characterizing the gas-liquid flow behavior
Zhong-Ke Gao et al.
CHEMICAL ENGINEERING JOURNAL (2021)
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Low-Noise Magnetic Coil System for Recording 3-D Eye Movements
Kristin N. Hageman et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network
Dingcheng Zhang et al.
MEASUREMENT (2020)
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Siyu Shao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Clinicopathologic Significance and Prognostic Value of Programmed Cell Death Ligand 1 (PD-L1) in Patients With Hepatocellular Carcinoma: A Meta-Analysis
Jing-Hua Li et al.
FRONTIERS IN IMMUNOLOGY (2018)
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
Wei Zhang et al.
SENSORS (2017)
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
Jing Tian et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Fast transformation from time series to visibility graphs
Xin Lan et al.
CHAOS (2015)
Limited penetrable visibility graph for establishing complex network from time series
Zhou Ting-Ting et al.
ACTA PHYSICA SINICA (2012)
Horizontal visibility graphs: Exact results for random time series
B. Luque et al.
PHYSICAL REVIEW E (2009)
From time series to complex networks:: The visibility graph
Lucas Lacasa et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)