Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3200428
Abstract: Maintenance of machinery equipment in smart manufacturing requires real-time health monitoring, strongly supported by the rapid evolution of Artificial Intelligence (AI) technologies. Most AI-based health monitoring systems are powered by advanced modeling methods and intensive… read more here.
Keywords: health; health monitoring; aware sparse; noise aware ... See more keywords
DC algorithm for estimation of sparse Gaussian graphical models
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0315740
Abstract: Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses… read more here.
Keywords: algorithm estimation; gaussian graphical; sparse gaussian; estimation ... See more keywords
Locally Weighted Non-Parametric Modeling of Ship Maneuvering Motion Based on Sparse Gaussian Process
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse9060606
Abstract: This paper explores a fast and efficient method for identifying and modeling ship maneuvering motion, and conducts a comprehensive experiment. Through the ship maneuvering test, the dynamics interaction between ship and the environment is obtained.… read more here.
Keywords: ship; locally weighted; ship maneuvering; sparse gaussian ... See more keywords