IEEE

Wave motion suppression in the presence of unknown parameters using recursively updated empirical basis functions

Abstract: We focus on adaptive wave motion suppression of fluid flows in the presence of unknown parameters. The suppression problem is addressed by low-dimensional adaptive nonlinear output feedback ...
GitHub

Julia package for calculating Empirical Orthogonal Functions from spatiotemporal datasets.

This package was heavily inspired by the eofs Python package and a good amount of code was translated to Julia from this package.
National Bureau of Economic Research

Inequality Within Countries is Falling: Underreporting-Robust Estimates of World Poverty, Inequality and the Global Distribution of Income

Household surveys suffer from persistent and growing underreporting. We propose a novel procedure to adjust reported survey incomes for underreporting by estimating a model of misreporting whose main ...
IEEE

Inversion of Sound Speed Profile in the Luzon Strait by Combining Single Empirical Orthogonal Function and Generalized Regression Neural Network

Abstract: The sound speed profile (SSP) reflects the variation in sound speed from the sea surface to the seabed, and its structural changes will have a major impact on sound propagation. There is a ...