A dual-mode electrochemical biosensor based on GO-Fe3O4 doped PEDOT nanocomposite for the ultrasensitive assay of microRNA
L Sun, Z Zhang, J Wang, N Hui - Bioelectrochemistry, 2024 - Elsevier
MicroRNA, as a distinctive biomarker, plays a crucial role in the early prognosis and
diagnosis of numerous severe diseases. However, due to its inherent properties such as low …
diagnosis of numerous severe diseases. However, due to its inherent properties such as low …
Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder
L Wang, H Rao, Z Dong, W Zeng, F Xu… - Structural Health …, 2024 - journals.sagepub.com
In practical engineering, data often lack labels, resulting in difficulty in fault diagnosis.
Because stack-denoising autoencoders possess robust feature extraction capabilities and …
Because stack-denoising autoencoders possess robust feature extraction capabilities and …
A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal
The evolution of advanced sensing techniques and intelligent algorithms has significantly
underpinned the growth of structural health monitoring and damage identification. Modern …
underpinned the growth of structural health monitoring and damage identification. Modern …
A cross-domain intelligent fault diagnosis method based on multi-source domain feature adaptation and selection
Although fault diagnosis methods integrating transfer learning are research hotspots, their
ability to handle industrial fault diagnosis problems with large domain differences still needs …
ability to handle industrial fault diagnosis problems with large domain differences still needs …
Intelligent Crack Damage Identification for Compressor Blade Based on Transfer Graph Neural Network
Advanced sensing techniques and intelligent algorithms have greatly contributed to the
development of structural health monitoring & damage identifications. As the most common …
development of structural health monitoring & damage identifications. As the most common …