Search
Now showing items 1-10 of 371
Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem
(2023-12)
Estimating subsurface properties from geophysical measurements is a common inverse problem. Several Bayesian methods currently aim to find the solution to a geophysical inverse problem and quantify its uncertainty. However, ...
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations
(2023-12)
We propose a simulator for time-dependent Maxwell's equations with linear computational cost. We employ B-spline basis functions as considered in the isogeometric analysis (IGA). We focus on non-stationary Maxwell's equations ...
Easy-to-implement hp-adaptivity for non-elliptic goal-oriented problems
(2023-11-29)
The FEM has become a foundational numerical technique in computational mechanics and civil engineering since its inception by Courant in 1943 Courant1943. Originating from the Ritz method and variational calculus, the FEM ...
Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
(2023-11-01)
Floating offshore wind turbines (FOWTs) show promise in terms of energy production, availability, and sustainability, but remain unprofitable due to high maintenance costs. This work proposes a deep learning algorithm to ...
Machine learning discovery of optimal quadrature rules for isogeometric analysis
(2023-11-01)
We propose the use of machine learning techniques to find optimal quadrature rules for the construction of stiffness and mass matrices in isogeometric analysis (IGA). We initially consider 1D spline spaces of arbitrary ...
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification
(2023-11-01)
Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with contagious diseases, ...
Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements
(2023-10)
Deep learning (DL) inversion is a promising method for real-Time interpretation of logging-while-drilling (LWD) resistivity measurements for well-navigation applications. In this context, measurement noise may significantly ...
Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
(2023-10)
This work proposes a novel supervised learning approach to identify damage in operating bridge structures. We propose a method to introduce the effect of environmental and operational conditions into the synthetic damage ...
Event-based sampled ECG morphology reconstruction through self-similarity
(2023-10-01)
Background and Objective: Event-based analog-to-digital converters allow for sparse bio-signal acquisition, enabling local sub-Nyquist sampling frequency. However, aggressive event selection can cause the loss of important ...
Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems
(2023-10)
The development of low-power wearable systems requires specialized techniques to accommodate their unique requirements and constraints. While significant advancements have been made in the inference phase of artificial ...