Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics

C Granero-Belinchon - Physica D: Nonlinear Phenomena, 2024 - Elsevier
We define and study a fully-convolutional neural network stochastic model, NN-Turb, which
generates a 1-dimensional field with some turbulent velocity statistics. In particular, the …

Investigation of a neural implicit representation tomography method for flow diagnostics

D Kelly, B Thurow - Measurement Science and Technology, 2024 - iopscience.iop.org
In this work, a new gridless approach to tomographic reconstruction of 3D flow fields is
introduced and investigated. The approach, termed here as FluidNeRF, is based on the …

Implicit neural representation for change detection

P Naylor, D Di Carlo, A Traviglia… - Proceedings of the …, 2024 - openaccess.thecvf.com
Identifying changes in a pair of 3D aerial LiDAR point clouds, obtained during two distinct
time periods over the same geographic region presents a significant challenge due to the …

Neural steerer: Novel steering vector synthesis with a causal neural field over frequency and source positions

D Di Carlo, AA Nugraha, M Fontaine… - arxiv preprint arxiv …, 2023 - arxiv.org
We address the problem of accurately interpolating measured anechoic steering vectors
with a deep learning framework called the neural field. This task plays a pivotal role in …

NEURAL STEERER: NOVEL STEERING VECTOR SYNTHESIS WITH A CAUSAL NEURAL FIELD OVER FREQUENCY AND DIRECTION

D Di Carlo, AA Nugraha, M Fontaine, Y Bando… - ICASSP, 2024 - hal.science
We address the problem of accurately interpolating measured anechoic steering vectors
with a deep learning framework called the neural field. This task plays a pivotal role in …