Search Results for author:
Found 9 papers, 0 papers with code
Simultaneous temperature estimation and nonuniformity correction from multiple frames
We also propose a novel offset block that incorporates the ambient temperature into the model and enables us to estimate the offset of the camera, which is a key factor in temperature estimation.
Estimating temperatures with low-cost infrared cameras using deep neural networks
The neural network was trained with the simulated nonuniformity data to estimate the object's temperature and correct the nonuniformity, using only a single image and the ambient temperature measured by the camera itself.
A note on the variation of geometric functionals
The aim of this note is to point to the correct way to derive the EL and the gradient descent equations such that the resulted gradient descent equation is geometric and makes sense.
Deep Learning Solution of the Eigenvalue Problem for Differential Operators
Solving the eigenvalue problem for differential operators is a common problem in many scientific fields.
Solving the functional Eigen-Problem using Neural Networks
In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations.
Learning-Based Strong Solutions to Forward and Inverse Problems in PDEs
The solver is grid free, mesh free and shape free, and the solution is approximated by a neural network.
Mesh-Free Unsupervised Learning-Based PDE Solver of Forward and Inverse problems
The solver is grid free, mesh free and shape free, and the solution is approximated by a neural network.
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
We propose a neural network-based algorithm for solving forward and inverse problems for partial differential equations in unsupervised fashion.
