Long Gaps Missing IoT Sensors Time Series Data Imputation: A Bayesian Gaussian Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218785
Abstract: Missing sensor data is a common problem associated with Internet of Things ecosystems, which affects the accuracy of associated services such as adequate medical intervention for older adults living at home. This problem is caused… read more here.
Keywords: missing data; approach; long gaps; data imputation ... See more keywords
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2016.2576999
Abstract: In this brief, a variational Bayesian Gaussian mixture regression (VBGMR) method is developed for soft sensing key quality-related variables in a non-Gaussian industrial process. Traditional Gaussian mixture regression (GMR) is based on Gaussian mixture model… read more here.
Keywords: variational bayesian; mixture regression; gaussian mixture; mixture ... See more keywords
Convolutional Neural Network and Bayesian Gaussian Process in Driving Anger Recognition
Sign Up to like & getrecommendations! Published in 2020 at "Engineering"
DOI: 10.4236/eng.2020.127037
Abstract: With the development of motorization, road traffic crashes have become the leading cause of death in many countries. Among roadway traffic crashes, almost 90% of accidents are related to driver behaviors, wherein driving anger is… read more here.
Keywords: neural network; anger; convolutional neural; gaussian process ... See more keywords