Optimization of Sparse Sensor Layouts and Data-Driven Reconstruction Methods for Steady-State and Transient Thermal Field Inverse Problems. [PDF]
Yuan Q, Yao P, Zhao W, Zhang B.
europepmc +1 more source
Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim +2 more
wiley +1 more source
Calibration-Based ALE Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities. [PDF]
Nonino M, Torlo D.
europepmc +1 more source
Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley +1 more source
A mixed-field formulation for modeling dielectric ring resonators and its application in optical frequency comb generation. [PDF]
Simsek E +6 more
europepmc +1 more source
Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley +1 more source
Breaking the Cross-Sensitivity Degeneracy in FBG Sensors: A Physics-Informed Co-Design Framework for Robust Discrimination. [PDF]
Yalınbaş F, Yılmaz G.
europepmc +1 more source
Rapid City‐Scale Earthquake Assessment by Combining Numerical Simulation and Sparse Sensing
This study proposes a framework to assess the seismic risk by integrating city‐scale numerical simulations with sensor data prediction. The study begins with advanced numerical simulations using two primary methods: the integrated earthquake simulator (IES) and the stochastic Green's function method.
Dongyang Tang +9 more
wiley +1 more source
Evaluating the performance of classical, quantum, and hybrid quantum neural networks in solving differential equations. [PDF]
Markazi N, Mirza B.
europepmc +1 more source
Time‐Division Multiplexing for Parallel Transmission at Ultra‐High Field With Limited RF Channels
ABSTRACT Purpose Investigating time‐division multiplexing for parallel transmission in ultra high‐field imaging, striving for homogeneous whole brain excitation with a limited number of RF channels. Methods A fast RF switch was built to alternately route 8 transmit channels to each row of a double‐row 16‐element transmit coil array at a 9.4 T human MRI
Felix Glang +4 more
wiley +1 more source

