Jiacheng Cui
Dalian University of Technology
7 Papers
Jiacheng Cui is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Computer science & Laser-induced breakdown spectroscopy. The author has an hindex of 1, co-authored 2 publications.
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Papers
A novel method for predicting delamination of carbon fiber reinforced plastic (CFRP) based on multi-sensor data
TL;DR: In this paper, a comprehensive delamination prediction method based on multi-sensor data is proposed to solve the problem of estimating delamination damage in situ in the process of continuous drilling.
27
Spectral knowledge-based regression for laser-induced breakdown spectroscopy quantitative analysis
Weiran Song,Muhammad Sher Afgan,Yong-Huan Yun,Hui Li Wang,Jiacheng Cui,Weilun Gu,Zongyu Hou,Zhe Wang +7 more
TL;DR: In this paper , a spectral knowledge-based regression (SKR) was proposed to improve the performance of laser-induced breakdown spectroscopy (LIBS) quantitative analysis using linear and nonlinear multivariate analysis models.
20
Incorporating domain knowledge into machine learning for laser-induced breakdown spectroscopy quantification
Weiran Song,Zongyu Hou,Weilun Gu,Muhammad Sher Afgan,Jiacheng Cui,Hui Li Wang,Yunbin Wang,Zhe Wang +7 more
TL;DR: In this article , a new regression method based on dominant factor and kernel extreme learning machine is proposed, which uses knowledge-based spectral lines, related to analyte compositions, to construct a linear physical principle based model and adopts K-ELM to account for the residuals of the linear model.
20
Automatic Detection and Segmentation of Laser Stripes for Industrial Measurement
TL;DR: The proposed method can achieve automatic and accurate extraction of laser stripe, which has strong adaptability to both the complex background in the field and the uneven brightness characteristic of laser stripes, thereby satisfying the engineering requirements of large-scale part field measurement.
19
Transferred multitask regularization convolutional neural network (TrMR-CNN) for laser-induced breakdown spectroscopy quantitative analysis
TL;DR: In this article , laser-induced breakdown spectroscopy (LIBS) combined with machine learning has demonstrated great capabilities for quantitative elemental analysis, when the distributions of training and test data differ due to changes in measurement.