Results 101 to 110 of about 18,585 (221)
A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the machine to have an appropriate operation and maintenance decision.
Jialin Li, Xueyi Li, David He
doaj +1 more source
EUS‐B FNA of Enlarged Left Adrenal Gland in Lung Cancer—Case Series
Our case series illustrates the use of EUS‐B FNA of LAG for diagnosis, staging and tissue acquisition in lung cancer. We highlight learning points, discuss risks and benefits and advocate for broader integration into clinical practice. ABSTRACT Combined endobronchial and endoscopic ultrasound via bronchoscope (EBUS EUS‐B) is an established method for ...
Jeffrey Ng +4 more
wiley +1 more source
In elderly lung cancer patients, perioperative risk is driven more by performance status, pulmonary reserve, and serum albumin than by age > 80 years. ABSTRACT Background The incidence of lung cancer increases with age. On average, patients diagnosed with lung cancer are about 70 years.
Fuad Damirov +9 more
wiley +1 more source
PD‐L1 expression is independently associated with inferior survival outcomes and increased regional recurrence in early‐stage NSCLC treated with SBRT. These findings suggest that PD‐L1 status serves as a prognostic biomarker for identifying high‐risk patients who may benefit from intensified systemic strategies, such as combining SBRT with ...
Jongmoo Park +5 more
wiley +1 more source
Optimal Pilot Symbols Ratio in terms of Spectrum and Energy Efficiency in Uplink CoMP Networks
In wireless networks, Spectrum Efficiency (SE) and Energy Efficiency (EE) can be affected by the channel estimation that needs to be well designed in practice.
Cui, Qimei, Wang, Ning, Zhang, Yuhao
core +1 more source
Serum Metabolomics Study Reveals a Diagnostic Model for Lung Cancer Brain Metastasis
The overall workflow of noninvasive and efficient early diagnostic methods and key features of metabolic dysregulation associated with lung cancer brain metastasis, providing novel molecular insights into its pathogenesis and laying a foundation for future translational applications.
Hongxia Zhu, Yinuo Jin, Xin You, Qi Wang
wiley +1 more source
DCA-Based Real-Time Residual Useful Life Prediction for Critical Faulty Component
Residual useful life (RUL) prediction is significant for condition-based maintenance. Traditional data-driven RUL prediction method can only predict fault trend of the system rather than RUL of a specific system component.
Funa Zhou, Jiayu Wang, Yulin Gao
doaj +1 more source
Integrated Bayesian Framework for Remaining Useful Life Prediction.
International audienceIn this paper, a data-driven method for remaining useful life (RUL) prediction is presented. The method learns the relation between acquired sensor data and end of life time (EOL) to predict the RUL.
Medjaher, Kamal +2 more
core +2 more sources
International audiencePrognostic models should properly take into account the effects of operating conditions on the degradation process and on the signal measurements used for monitoring.
Astigarraga, Daniel +4 more
core +4 more sources
Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator
Remaining useful life (RUL) prediction can provide early warnings of failure and has become a key component in the prognostics and health management of systems.
Aisong Qin +5 more
doaj +1 more source

