Results 71 to 80 of about 1,541,566 (221)

Quantitative Dual‐Energy CT Perfusion Versus SPECT/CT V/Q Scintigraphy for Preoperative Lung Function Assessment: A Prospective Cohort Study

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Introduction Accurate preoperative physiological assessment is critical for high‐risk patients undergoing lung resection to predict postoperative lung function. This study compared quantitative dual‐energy CT (DECT) perfusion with SPECT/CT for lobar perfusion mapping in an at‐risk oncological cohort.
Jack Edward Liu, Kane Nicholls, Audree So, Siddharth M. Kulkarni, Anthony Tu Tran, Stephen A. Barnett, Amy Baker   +6 more
wiley   +1 more source

Aircraft engine turbine RUL prediction using NADINE

, 2020
RUL prediction has become a widely researched topic in recent years. This paper describes the use of the deep learning approach Neural Network with Dynamically Evolving Capability (NADINE) to overcome RUL prediction challenges used in static deep ...
Tsang, Aloysius Jin Hou
core  

Clinical Prediction Models for Acute Kidney Injury in Neonatology—A Systematic Review and Modelling Analysis

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Aims Acute kidney injury (AKI) affects up to one‐third of neonates admitted to neonatal intensive care units (NICUs). NICUs are highly data‐rich environments, offering opportunities to develop clinical prediction rules (CPRs) that use clinical and demographic data to estimate AKI risk.
Dermot Wildes, Lisa Corley, Deirdre O'Sullivan, David T. Selewski, Caoimhe Costigan, Atif Awan, Catherine Quinlan, Michael A. Boyle   +7 more
wiley   +1 more source

RUL prediction using moving trajectories between SVM hyper planes

, 2012
With increasing amounts of data being generated by businesses and researchers, there is a need for fast, accurate and robust algorithms for data analysis.
Galar, Diego,, Kumar, Uday, Yuan Fuqing, Diego Galar, Fuqing, Yuan, Galar, Diego, Kumar, Uday,, Fuqing, Yuan,, Uday Kumar   +8 more
core   +1 more source

A RUL Prediction Method of Small Sample Equipment Based on DCNN-BiLSTM and Domain Adaptation

, 2022
To solve the problem of low accuracy of remaining useful life (RUL) prediction caused by insufficient sample data of equipment under complex operating conditions, an RUL prediction method of small sample equipment based on a deep convolutional neural ...
Yiqun Wang, Huixiang Liu, Yu Gu, Wenbai Chen, Weizhao Chen, Chunli Bi   +5 more
core   +1 more source

Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM

Sensors
The predictive performance of the remaining useful life (RUL) estimation model for bearings is of utmost importance, and the setting method of the bearing degradation threshold is crucial for detecting its early degradation point, as it significantly ...
Yi Zou, Wenlei Sun, Tiantian Xu, Bingkai Wang   +3 more
doaj   +1 more source

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

American Journal of Medical Genetics Part A, Volume 200, Issue 10, Page 2289-2308, October 2026.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu, Rosan Kenana, Rana Chakrabarti, Sarah D. P. Wilhelm, Joseph Andrews, Susan J. Leat, Christina Parker, Michael Miller, Leslie A. Nangle, Wendy McCaul, Ashfia Chowdhury, Natalie Hutchings, Ryan A. Adams, Lauren Guy, Mandy Rhody, Verena Juncal, Marisa I. Mendes, Desiree E. C. Smith, Gajja S. Salomons, Angelica A. Moresco, Daphne L. McCulloch, D. Holmes Morton, Ilka U. Heinemann, C. Anthony Rupar   +23 more
wiley   +1 more source

RUL Prediction for Lithium Batteries Using a Novel Ensemble Learning Method

, 2022
The remaining useful life (RUL) is the key element of fault diagnosis, prediction and health management (PHM) during the equipment operation service period.
Linggang Kong, Zheng Cheng, Yonghui Yang, Hongfu Zuo, Jiaju Wu   +4 more
core   +1 more source

Research progress on remaining useful life interval prediction of equipment based on deep learning

工程科学学报
Deep learning has been extensively employed for predicting the remaining useful life (RUL) of equipment owing to the powerful feature extraction ability of deep learning.
Chuang CHEN, Xianfeng LI, Jiantao SHI
doaj   +1 more source

Reliable Intelligent Diagnostics With Uncertainty Quantification for Mechanical System Condition Assessment

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 2896-2916, October 2026.
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley   +1 more source