11 citations · 19 across the 4 of their papers we have counts for
4 papers
An Accurate Data Cleaning Procedure for Electron Cyclotron Emission Imaging on EAST Tokamak Based on Methodology of Machine Learning
C. Li, T. Lan, Y. Wang +4
A new data cleaning procedure for electron cyclotron emission imaging (ECEI) of EAST tokamak is constructed. Machine learning techniques, including SVM and Decision tree, are appli…
Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method
Jian Liu, Ting Lan, Hong Qin
Traditional data cleaning identifies dirty data by classifying original data sequences, which is a classimbalanced problem since the proportion of incorrect data is much less th…
Preference-based performance measures for Time-Domain Global Similarity method
Ting Lan, Jian Liu, Hong Qin
For Time-Domain Global Similarity (TDGS) method, which transforms the data cleaning problem into a binary classification problem about the physical similarity between channels, dir…
Time-domain global similarity method for automatic data cleaning for multi-channel measurement systems in magnetic confinement fusion devices
Ting Lan, Jian Liu, Hong Qin +1
To guarantee the availability and reliability of data source in Magnetic Confinement Fusion (MCF) devices, incorrect diagnostic data, which cannot reflect real physical properties…