A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can not only
leverage the advantages of Deep Learning (DL) in feature representation, but also benefit …
leverage the advantages of Deep Learning (DL) in feature representation, but also benefit …
Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network
To assess health conditions of rotating machinery efficiently, multiple accelerometers are
mounted on different locations to acquire a variety of possible faults signals. The statistical …
mounted on different locations to acquire a variety of possible faults signals. The statistical …
Fundamentals and applications of inertial microfluidics: A review
In the last decade, inertial microfluidics has attracted significant attention and a wide variety
of channel designs that focus, concentrate and separate particles and fluids have been …
of channel designs that focus, concentrate and separate particles and fluids have been …
A state-of-the-art review on magnetorheological elastomer devices
During the last few decades, magnetorheological (MR) elastomers have attracted a significant
amount of attention for their enormous potential in engineering applications. Because they …
amount of attention for their enormous potential in engineering applications. Because they …
Recursive PCA for adaptive process monitoring
W Li, HH Yue, S Valle-Cervantes, SJ Qin - Journal of process control, 2000 - Elsevier
While principal component analysis (PCA) has found wide application in process monitoring,
slow and normal process changes often occur in real processes, which lead to false alarms …
slow and normal process changes often occur in real processes, which lead to false alarms …
The photoelectrochemistry of transition metal-ion-doped TiO2 nanocrystalline electrodes and higher solar cell conversion efficiency based on Zn2+-doped TiO2 …
Y Wang, Y Hao, H Cheng, J Ma, B Xu, W Li… - Journal of Materials …, 1999 - Springer
Metal-ion-doped TiO 2 nanoparticles were prepared with hydrothermal method. The change
of photocurrents at different electrode potentials and wavelengths of incident light showed …
of photocurrents at different electrode potentials and wavelengths of incident light showed …
admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties
Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles
in the discovery/development of drugs, pesticides, food additives, consumer products, and …
in the discovery/development of drugs, pesticides, food additives, consumer products, and …
admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties
admetSAR was developed as a comprehensive source and free tool for the prediction of
chemical ADMET properties. Since its first release in 2012 containing 27 predictive models, …
chemical ADMET properties. Since its first release in 2012 containing 27 predictive models, …
[HTML][HTML] Prediction of drug-target interactions and drug repositioning via network-based inference
Drug-target interaction (DTI) is the basis of drug discovery and design. It is time consuming
and costly to determine DTI experimentally. Hence, it is necessary to develop computational …
and costly to determine DTI experimentally. Hence, it is necessary to develop computational …
Selection of the number of principal components: the variance of the reconstruction error criterion with a comparison to other methods
One of the main difficulties in using principal component analysis (PCA) is the selection of
the number of principal components (PCs). There exist a plethora of methods to calculate the …
the number of principal components (PCs). There exist a plethora of methods to calculate the …