Innovation modelling and multi-factor learning in wind energy technology
Sign Up to like & getrecommendations! Published in 2020 at "Energy Economics"
DOI: 10.1016/j.eneco.2019.104594
Abstract: Abstract Learning curves are frequently cited to justify the subsidization of new technologies to facilitate market competitiveness. The main literature has focused on improving the specification of the basic learning curve model by augmenting it… read more here.
Keywords: energy; learning curve; innovation; multi factor ... See more keywords
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3252577
Abstract: Analysis of neuroimaging data (e.g., Magnetic Resonance Imaging, structural and functional MRI) plays an important role in monitoring brain dynamics and probing brain structures. Neuroimaging data are multi-featured and non-linear by nature, and it is… read more here.
Keywords: factor learning; brain; discrimination; mri ... See more keywords