Results 71 to 80 of about 116,475 (314)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Semiparametric Regression Estimation in Null Recurrent Nonlinear Time Series [PDF]
Estimation theory in a nonstationary environment has been very popular in recent years. Existing studies focus on nonstationarity in parametric linear, parametric nonlinear and nonparametric nonlinear models. In this paper, we consider a partially linear
Jia Chen, Jiti Gao, Degui Li
core
A generic algorithm for reducing bias in parametric estimation [PDF]
, 2010 A general iterative algorithm is developed for the computation of reduced-bias parameter estimates in regular statistical models through adjustments to the score function.
Firth, David +3 more
core +1 more source
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
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
Efficient design of experiment for exponential regression models [PDF]
In this paper robust and efficient designs are derived for several exponential decay models. These models are widely used in chemistry, pharmacokinetics or microbiology.
Dette, Holger +3 more
core
Review of Thermally Activated Twisted Coiled Polymer Actuators: A Materials Science Perspective
Advanced Functional Materials, EarlyView.Thermally activated twisted and coiled polymer actuators (TCPAs) combine lightweight design, large deformation, and scalable fabrication for soft robotic and wearable applications. This review connects polymer structure, processing history, helix geometry, and thermomechanical characterization to actuator performance, highlighting current challenges in
Nadja Schenk +3 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
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
Shaping Matter with Acoustic Waves: From Particles to Functional Structures
Advanced Functional Materials, EarlyView.Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg +5 more
wiley +1 more source