Sign Up to like & get
recommendations!
0
Published in 2021 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2021.03.006
Abstract: Abstract Data based approaches have recently gained extensive attention in modern process industries. Accordingly, data based soft sensing technology used for making online predictions of quality variables plays currently an important role in process control…
read more here.
Keywords:
process;
time learning;
moving window;
task transferred ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04139
Abstract: Near-infrared spectroscopy has been widely used to characterize the chemical composition of tobacco because it is fast, economical, and nondestructive. However, few predictive models perform ideally when applied to large spectral libraries of tobacco and…
read more here.
Keywords:
time learning;
spectroscopy;
tobacco;
near infrared ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2020.3029992
Abstract: Many machine learning algorithms have been developed under the assumption that datasets are already available in batch form. Yet, in many application domains, data are only available sequentially overtime via compute nodes in different geographic…
read more here.
Keywords:
real time;
distributed networked;
time learning;
networked real ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.767389
Abstract: This study proposes a push notification system that combines digital real-time learning, roll-call, and feedback collection functions. With the gradually flourishing online real-time learning systems, this research further builds roll-call and feedback functions for students…
read more here.
Keywords:
system;
time;
time learning;
roll call ... See more keywords