Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/S2215-0366(15)00383-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement.
Sci Rep
January 2025
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt.
The research study objective seeks to improve the efficiency of wind turbines using state-of-the-art techniques in the domain of ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically achieved through either vibration analysis or by using Supervisory Control and Data Acquisition (SCADA) data of wind turbines, wherein conventional fault pattern identification is a time-consuming, guesswork process. This work proposed an intelligent automated approach to early fault detection through the implementation of the HARO (Huber Adam Regression Optimizer) model, which combines Transformer networks with Lasso Regression and the Adam optimizer.
View Article and Find Full Text PDFInteroception, cardiac health, and heart failure: The potential for artificial intelligence (AI)-driven diagnosis and treatment.
Physiol Rep
January 2025
Department of Physiology, School of Medicine, University of Louisville, Louisville, Kentucky, USA.
"I see, I forget, I read aloud, I remember, and when I do read purposefully by writing it, I do not forget it." This phenomenon is known as "interoception" and refers to the sensing and interpretation of internal body signals, allowing the brain to communicate with various body systems. Dysfunction in interoception is associated with cardiovascular disorders.
View Article and Find Full Text PDFAn accurately supervised motion-aware deep network for non-contact pain assessment of trigeminal neuralgia mouse model.
J Oral Facial Pain Headache
March 2024
Department of Oral and Maxillofacial Surgery, Peking University School of Stomatology, 100081 Beijing, China.
Pain assessment in trigeminal neuralgia (TN) mouse models is essential for exploring its pathophysiology and developing effective analgesics. However, pain assessment methods for TN mouse models have not been widely studied, resulting in a critical gap in our understanding of TN. With the rapid advancement of deep learning, numerous pain assessment methods based on deep learning have emerged.
View Article and Find Full Text PDFNurse-Assisted Remote Patient Monitoring for Self-Management Support to Patients With Long-Term Illness-A Qualitative Multimethod Study.
J Adv Nurs
January 2025
Department of Public Health, University of Stavanger, Faculty of Health Science, Stavanger, Norway.
Aim: To explore patients and nurses' experiences of digital self-management support following participation in a remote patient monitoring intervention.
Design: An exploratory qualitative multimethod study.
Methods: The study was conducted at two Norwegian university hospitals between January 2022 and February 2023.
Biomarkers.
Alzheimers Dement
December 2024
Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
Background: Finding low-cost, accessible methods to detect people at risk of preclinical Alzheimer's disease (AD) is a research priority for neuroprotective drug development and clinical trials. Sub-clinical asymptomatic decline in episodic memory is a proxy measure of preclinical AD and there is emerging evidence that analysis of motor patterns using laboratory apparatus may detect this stage. There has been little investigation of whether self-administrated simple hand motor tests using personal computers in an unsupervised environment can detect preclinical AD.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!