Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention
This pioneering study aims to revolutionize self-symptom management and telemedicine-
based remote monitoring through the development of a real-time wheeze counting …
based remote monitoring through the development of a real-time wheeze counting …
Recursive signal denoising method for predictive maintenance of equipment by using deep learning based temporal masking
J Ren, J Zhang, J Wang, X Zhao - Computers & Industrial Engineering, 2024 - Elsevier
In the data driven predictive maintenance, high quality data is the premise of high accuracy
diagnosis and prediction. In the industrial practice, reducing the noise is of great significance …
diagnosis and prediction. In the industrial practice, reducing the noise is of great significance …
A Quasi-Newton Matrix Factorization-Based Model for Recommendation
S Shao, Y Xia, K Bai, X Zhou - International Journal of Web Services …, 2023 - igi-global.com
Solving large-scale non-convex optimization problems is the fundamental challenge in the
development of matrix factorization (MF)-based recommender systems. Unfortunately …
development of matrix factorization (MF)-based recommender systems. Unfortunately …
Noise-tolerant NMF-based parallel algorithm for respiratory rate estimation
The accurate estimation of respiratory rate (RR) is crucial for assessing the respiratory
system's health in humans, particularly during auscultation processes. Despite numerous …
system's health in humans, particularly during auscultation processes. Despite numerous …