A nonlinear multigrid method for the parameter identification problem of partial differential equations with constraints
In this paper, we consider the parameter identification problem of partial differential
equations with constraints. A nonlinear multigrid method is introduced to the process of …
equations with constraints. A nonlinear multigrid method is introduced to the process of …
Analysis of Reconstruction Energy Efficiency in EIT and ECT 3D Tomography Based on Elastic Net
The main goal of this paper is to research and analyze the problem of image reconstruction
performance using machine learning methods in 3D electrical capacitance tomography …
performance using machine learning methods in 3D electrical capacitance tomography …
Energy reduction with super-resolution convolutional neural network for ultrasound tomography
This study addresses the issue of energy optimization by investigating solutions for the
reduction of energy consumption in the diagnostics and monitoring of technological …
reduction of energy consumption in the diagnostics and monitoring of technological …
[HTML][HTML] Accelerometer-Based Pavement Classification for Vehicle Dynamics Analysis Using Neural Networks
This research examines the influence of various pavement types on vehicle dynamics,
specifically concentrating on vertical acceleration and its implications for unsprung mass …
specifically concentrating on vertical acceleration and its implications for unsprung mass …
Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings
Smart buildings are becoming a new standard in construction, which allows for many
possibilities to introduce ergonomics and energy savings. These contain simple …
possibilities to introduce ergonomics and energy savings. These contain simple …
Effect of Measurement Noise on Reconstruction using Machine Learning with Electrical Tomography in the Case of the Abdominal Cavity
In this paper, we compare the reconstruction efficiency obtained by the least angle
regression (LARS) and Elastic Net algorithms using electrical impedance tomography (EIT) …
regression (LARS) and Elastic Net algorithms using electrical impedance tomography (EIT) …
Image Reconstruction Method Based on Iterative Linear Back Projection and Logistic Forward Solver for Electrical Capacitance Tomography Measurement System
Image reconstruction is one of the important tasks in the application of electrical capacitance
tomography (ECT) systems. Though numerous algorithms have been implemented, it is …
tomography (ECT) systems. Though numerous algorithms have been implemented, it is …
Improvement and Analysis of Panoramic Image Mosaic Technology Based on Mixed Scene
Y Pei - 2024 2nd International Conference on Image …, 2024 - atlantis-press.com
Given how quickly augmented reality (AR) and virtual reality (VR) technologies are
develo**, panoramic image stitching technology is playing an increasingly important role …
develo**, panoramic image stitching technology is playing an increasingly important role …
USE OF ELECTRICAL IMPEDANCE TOMOGRAPHY FOR LUNG VOLUME RECONSTRUCTION ZASTOSOWANIE ELEKTRYCZNEJ TOMOGRAFII IMPEDANCYJNEJ …
B Przysucha, P Olszewski - Journal of Modern Science, 2024 - ceeol.com
Artykuł przedstawia badania zastosowania elektroimpedancyjnej tomografii (EIT) w
diagnostyce pojemności płuc za pomocą metody regularyzacji Tichonowa. Zbadano …
diagnostyce pojemności płuc za pomocą metody regularyzacji Tichonowa. Zbadano …
USE OF ELECTRICAL IMPEDANCE TOMOGRAPHY FOR LUNG VOLUME RECONSTRUCTION.
P Tchórzewski, B PRZYSUCHA… - Journal of Modern …, 2024 - search.ebscohost.com
Artykuł przedstawia badania zastosowania elektroimpedancyjnej tomografii (EIT) w
diagnostyce pojemności płuc za pomocą metody regularyzacji Tichonowa. Zbadano …
diagnostyce pojemności płuc za pomocą metody regularyzacji Tichonowa. Zbadano …