Results 201 to 210 of about 88,886 (260)

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time-Frequency Diagram. [PDF]

Sensors (Basel)
Wei X, Fan J, Wang H, Cai L.
europepmc   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator. [PDF]

Sensors (Basel)
Kim JW, Park KS.
europepmc   +1 more source

Enhanced Mamba model with multi-head attention mechanism and learnable scaling parameters for remaining useful life prediction. [PDF]

Sci Rep
Liu F, Liu S, Chai Y, Zhu Y.
europepmc   +1 more source

A deep learning approach to optimize remaining useful life prediction for Li-ion batteries. [PDF]

Sci Rep
Iftikhar M, Shoaib M, Altaf A, Iqbal F, Villar SG, Dzul Lopez LA, Ashraf I.   +6 more
europepmc   +1 more source

A hybrid approach for lithium-ion battery remaining useful life prediction using signal decomposition and machine learning. [PDF]

Sci Rep
Fan Y, Lin Z, Wang F, Zhang J.
europepmc   +1 more source

A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism. [PDF]

Sensors (Basel)
Wang F, Liu A, Qu C, Xiong R, Chen L.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Probabilistic Framework for Remaining Useful Life Prediction of Bearings

IEEE Transactions on Instrumentation and Measurement, 2021
This article presents a probabilistic framework for remaining useful life (RUL) prediction of bearings. This framework comprises two phases: 1) early fault detection, i.e., modeling the vibration signal as a series of graphs and then conducting graph spectrum analysis to detect the topological change of graph for early fault detection and 2) RUL ...
Teng Wang 0002, Zheng Liu 0002, Nezih Mrad   +2 more
openaire   +1 more source

Remaining useful life Prediction of air spring

2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019
The remaining useful life estimation is an important function of an efficient prognostics and health management (PHM) system and can be used preventively to replace the component with the aim of avoiding a breakdown. The prediction of remaining life time of the air spring as one of the critical component of truck is the main goal of this research.
Farzaneh Ahmadzadeh, Jonas Biteus, Olof Steinert   +2 more
openaire   +1 more source