← back to search

Jangwon Lee

Daejeon University · KR
Area of research
Computer Vision and Pattern Recognition · Electrical and Electronic Engineering
Research interest
Research interests include Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Advanced Vision and Imaging, and Organic Light-Emitting Diodes Research.
h-index
15
citations
908
works
91
NIH funding
primary concept
email

Recent publications

Remaining Useful Life Estimation for Ball Bearings Using Feature Engineering and Extreme Learning Machine
IFAC-PapersOnLine 2022cited by 14position: firstdoi
Feature-based statistical process monitoring for pressure swing adsorption processes
Frontiers in Chemical Engineering 2022cited by 2position: firstdoi
Consistency-Enhanced Evolution for Variable Selection Can Identify Key Chemical Information from Spectroscopic Data
Industrial & Engineering Chemistry Research 2020cited by 12position: firstdoi
Feature Based Fault Detection for Pressure Swing Adsorption Processes
IFAC-PapersOnLine 2020cited by 3position: firstdoi
A Variable Selection Method for Improving Variable Selection Consistency and Soft Sensor Performance
2020cited by 1position: firstdoi
Improving Featured-based Soft Sensing through Feature Selection
IFAC-PapersOnLine 2020cited by 1position: firstdoi
Understanding the effect of specialization on hospital performance through knowledge-guided machine learning
Computers & Chemical Engineering 2019cited by 6position: firstdoi
Evaluating Hospital Performance Using Process Systems Engineering Tools
Computer-aided chemical engineering/Computer aided chemical engineering 2018cited by 0position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Q. Peter He · Zhejiang Lab7 papers (2018–2022) · 6 papers (2020–2022)Jin Wang · J-Power (Japan)6 papers (2020–2022)Ankur Kumar · The University of Texas at Austin2 papers (2020–2022)Zhuoxiong Sun · Purdue University West Lafayette1 papers (2022–2022) · 1 papers (2022–2022) · 1 papers (2022–2022)Qing He · Southwest Petroleum University1 papers (2022–2022)