Unifying machine learning and interpolation theory via interpolating neural networks. [PDF]
Park C +11 more
europepmc +1 more source
Direct and Inverse Steady-State Heat Conduction in Materials with Discontinuous Thermal Conductivity: Hybrid Difference/Meshless Monte Carlo Approaches. [PDF]
Milewski S.
europepmc +1 more source
Acupuncture for cognitive functions in post-COVID-19 condition: study protocol of a three-armed, randomized controlled trial with multimodal MRI. [PDF]
Luo T +10 more
europepmc +1 more source
A Finite Element Study of Bimodulus Materials with 2D Constitutive Relations in Non-Principal Stress Directions. [PDF]
Dong C +7 more
europepmc +1 more source
Reconstruction of magnetic structures and material parameters with convolutional neural network and bias field-constrained micromagnetic relaxation. [PDF]
Suess D +5 more
europepmc +1 more source
Alcohol-Related Risk, Depressive Symptoms, HRQoL, and Coping Phenotypes in Head-and-Neck Cancer: A Multicenter Cross-Sectional Study Stratified by Clinical Stage. [PDF]
Hut AR +8 more
europepmc +1 more source
Autonomous codesign and fabrication of multistimuli-responsive material systems. [PDF]
Wang L +4 more
europepmc +1 more source
Electrophysiological resting-state signatures link polygenic scores to general intelligence. [PDF]
Engler R +20 more
europepmc +1 more source
The Inverse Nodal problem for the fractional diffusion equation
In this paper, on a general finite interval, the inverse problem of recovering the potential function for a fractional diffusion equation with new spectral parameter, called the nodal point, is given. Furthermore, using Mittag Leffler function, asymptotic formulas for nodal points and nodal length for a fractional diffusion equation are also found.
openaire +1 more source
From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]
Kim J, Kang H, Chang S.
europepmc +1 more source

