A systematic review of machine learning-based missing value imputation techniques
T Thomas, E Rajabi - Data Technologies and Applications, 2021 - emerald.com
Purpose The primary aim of this study is to review the studies from different dimensions
including type of methods, experimentation setup and evaluation metrics used in the novel …
including type of methods, experimentation setup and evaluation metrics used in the novel …
State-of-health prognosis for lithium-ion batteries considering the limitations in measurements via maximal information entropy and collective sparse variational …
Prognostics and health management (PHM) for electronic devices is intricate yet crucial in
an era of electricity. The impending future of electric vehicles and clean energy requires …
an era of electricity. The impending future of electric vehicles and clean energy requires …
[PDF][PDF] Supervised Machine Learning Methods for Complex Data
A Petrozziello - 2019 - researchportal.port.ac.uk
This dissertation investigates state-of-the-art machine learning methods (both shallow and
deep) and their application for knowledge extraction, prediction, recognition, and …
deep) and their application for knowledge extraction, prediction, recognition, and …