Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2952931
Abstract: Dynamics and nonlinearity may exist in the time and batch directions for batch processes, thereby complicating the monitoring of these processes. In this article, we propose a two-dimensional deep correlated representation learning (2D-DCRL) method to… read more here.
Keywords: time; monitoring; batch; dimensional deep ... See more keywords
Re-Ranking High-Dimensional Deep Local Representation for NIR-VIS Face Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2912360
Abstract: Heterogeneous face recognition refers to matching facial images captured from different sensors or sources, which has wide applications in public security and law enforcement. Because of the great differences in sensing and creating procedure, there… read more here.
Keywords: face recognition; high dimensional; deep local; dimensional deep ... See more keywords
Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191811193
Abstract: Pneumoconiosis is a group of occupational lung diseases induced by mineral dust inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung damage, as well as gradual and permanent physical impairments. It has… read more here.
Keywords: dimensional deep; deep features; pneumoconiosis; multi dimensional ... See more keywords