[1]
|
Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111218
|
|
|
[2]
|
Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111218
|
|
|
[3]
|
Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111218
|
|
|
[4]
|
Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111218
|
|
|
[5]
|
Development of a Camera Self-calibration Method for 10-parameter Mapping Function
Journal of Ocean Engineering and Technology,
2021
DOI:10.26748/KSOE.2021.005
|
|
|
[6]
|
The development of the simultaneous reconstruction of 2D temperature and concentration using a 6-peaks algorithm for CT-TDLAS
Journal of Mechanical Science and Technology,
2020
DOI:10.1007/s12206-020-0428-5
|
|
|
[7]
|
Similarity Analysis for Time Series-Based 2D Temperature Measurement of Engine Exhaust Gas in TDLAT
Applied Sciences,
2019
DOI:10.3390/app10010285
|
|
|
[8]
|
2D Temperature Measurement of CT-TDLAS by Using Two-Ratios-of-Three-Peaks Algorithm
Transactions of the Korean hydrogen and new energy society,
2016
DOI:10.7316/KHNES.2016.27.3.318
|
|
|
[9]
|
Study on Optimal Coefficients of Line Broadening Function for Performance Enhancements of CT-TDLAS
Transactions of the Korean hydrogen and new energy society,
2016
DOI:10.7316/KHNES.2016.27.6.773
|
|
|