Results 91 to 100 of about 15,402,643 (297)
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
A Novel Approach to Quality Control in Multivariate Manufacturing Processes Based on Principal Component Analysis [PDF]
Purpose: This study proposes a comprehensive analytical framework for identifying and reducing the dimensions of control variables in complex multi-stage processes within the steel industry, focusing on a case study of Mobarakeh Steel Company in Isfahan.
Mahsa Jafari +2 more
doaj +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Towards the disease biomarker in an individual patient using statistical health monitoring.
In metabolomics, identification of complex diseases is often based on application of (multivariate) statistical techniques to the data. Commonly, each disease requires its own specific diagnostic model, separating healthy and diseased individuals, which ...
Jasper Engel +4 more
doaj +1 more source
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source
Process Monitoring via Key Principal Components and Local Information Based Weights
There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song +5 more
doaj +1 more source
Cartilage injury promotes local fibrinogen deposition, which accelerates monosodium urate crystallization and activates integrin‐mediated matrix‐degradation. This self‐amplifying cycle drives gout‐related cartilage erosion. Disrupting fibrinogen deposition or restoring the cartilage barrier could interrupt this vicious cycle.
Hanlin Xu +7 more
wiley +1 more source
Postoperative critical care management of congenital heart disease patients requires prompt intervention when the patient deviates significantly from clinician‐determined vital sign and hemodynamic goals.
Daniel P. Howsmon +7 more
doaj +1 more source
A highly sensitive SERS‐based platform measures PD‐L1 expression on EpCAM+ circulating EVs from cancer patients undergoing immunotherapy. Monitoring dynamic changes after treatment reveals that reduced EpCAM+ EV PD‐L1 levels associate with improved long‐term clinical outcomes, establishing a non‐invasive approach for tracking immune checkpoint ...
Byeonggeol Mun +15 more
wiley +1 more source
Ratiometric dipyrene imaging resolves monomer (M) and excimer (E) channels and computes pixel‐wise E/M maps within biomolecular condensates, yielding physicochemical fingerprints shaped by coupled polarity‐related solvation and microviscosity. These spatial fingerprints enable quantitative phenotyping of cellular states, exemplified by separation of ...
Koki Matsumoto +20 more
wiley +1 more source

