Anomaly identification with few labeled data in the distillation process based on semisupervised ladder networks
Sign Up to like & getrecommendations! Published in 2020 at "Process Safety Progress"
DOI: 10.1002/prs.12206
Abstract: High repeatability of similar information but a lack of typical fault features, in the monitoring data of distillation processes for continuous production, leads to a small proportion of data with labels. Therefore, the requirement for… read more here.
Keywords: anomaly identification; process; data distillation; based semisupervised ... See more keywords
Graph-Based Semisupervised Learning With Weighted Features for Hyperspectral Remote Sensing Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3195639
Abstract: Graph neural network has an excellent performance in obtaining the similarity relationship of samples, so it has been widely used in computer vision. But the hyperspectral remote sensing image (HSI) has some problems, such as… read more here.
Keywords: based semisupervised; remote sensing; hyperspectral remote; classification ... See more keywords