Results 81 to 90 of about 428,031 (297)
Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk
Archives of Mechanics, 2018 We advance Genetic Programming Control (GPC) for turbulence flow control application building on the pioneering work of [1]. GPC is a recently proposed model-free control framework which explores and exploits strongly nonlinear dynamics in an ...
R. Li +5 more
doaj +1 more source
Nonparametric Estimation of Labor Supply Functions Generated by Piece Wise Linear Budget Constraints [PDF]
The basic idea in this paper is that labor supply can be viewed as a function of the entire budget set, so that one way to account non-parametrically for a nonlinear budget set is to estimate a nonparametric regression where the variable in the ...
Blomquist, Sören, Newey, Whitney
core
Generalized Regression Neural Network Based Predictive Model of Nonlinear System
TELKOMNIKA Indonesian Journal of Electrical Engineering, 2014 Generalized Regression Neural Network (GRNN) is usually applied to the Function approximation. This paper, based on the principle of GRNN, presents a method for the predictive model of nonlinear complex system. The presented algorithm is applied to the learning and predicting process for the system modeling.
Yibin Song, Zhenbin Du
openaire +1 more source
Advanced Healthcare Materials, EarlyView.A miniaturized drug sensitivity and resistance testing (DSRT) workflow based on the Droplet Microarray (DMA) platform enables functional drug testing using minimal patient‐derived tumor material. By screening nanoliter‐scale droplets containing as few as 300 cells, this approach generates reproducible and tumor‐specific drug response profiles ...
Maryam Salarian +7 more
wiley +1 more source
Applied Sciences, 2019 Radiometric normalization is an essential preprocessing step that must be performed to detect changes in multi-temporal satellite images and, in general, relative radiometric normalization is utilized.
Dae Kyo Seo, Yang Dam Eo
doaj +1 more source
Nonlinear Econometric Models with Cointegrated and Deterministically Trending Regressors [PDF]
This paper develops an asymptotic theory for a general class of nonlinear nonstationary regressions, extending earlier work by Phillips and Hansen (1990) on linear cointegrating regressions.
Joon Y. Park +2 more
core
, 2016 Generalized Linear Models (GLMs), where a random vector $\mathbf{x}$ is observed through a noisy, possibly nonlinear, function of a linear transform $\mathbf{z}=\mathbf{Ax}$ arise in a range of applications in nonlinear filtering and regression ...
Fletcher, Alyson K. +3 more
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Advanced Healthcare Materials, EarlyView.This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
General Trimmed Estimation: Robust Approach to Nonlinear and Limited Dependent Variable Models [PDF]
High breakdown-point regression estimators protect against large errors and data con- tamination. Motivated by some { the least trimmed squares and maximum trimmed like- lihood estimators { we propose a general trimmed estimator, which unifies and ...
Cizek, P.
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Marginal integration for nonparametric causal inference
, 2015 We consider the problem of inferring the total causal effect of a single variable intervention on a (response) variable of interest. We propose a certain marginal integration regression technique for a very general class of potentially nonlinear ...
Bühlmann, Peter, Ernest, Jan
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