Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …
challenges such as complex degradation processes, varying working conditions, and …
A review of principal component analysis algorithm for dimensionality reduction
BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …
exploratory biomedicine science, big data in health research is highly exciting because data …
An introduction to domain adaptation and transfer learning
In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …
then the learned classification function will make accurate predictions for new samples …
Unsupervised domain adaptive re-identification: Theory and practice
We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an
active topic in computer vision but lacks a theoretical foundation. We first extend existing …
active topic in computer vision but lacks a theoretical foundation. We first extend existing …
A survey of transfer learning
K Weiss, TM Khoshgoftaar, DD Wang - Journal of Big data, 2016 - Springer
Abstract Machine learning and data mining techniques have been used in numerous real-
world applications. An assumption of traditional machine learning methodologies is the …
world applications. An assumption of traditional machine learning methodologies is the …