Results 81 to 90 of about 369,804 (310)

Adaptive Sampling Under Sensor Constraints: A Nonparametric CUSUM Framework for Monitoring Multivariate Autocorrelated Processes

IEEE Access
In environments constrained by limited sensor availability-where measurements yield incomplete data at each instance—this study proposes a systematic and scalable adaptive sampling framework for multivariate process monitoring. Traditional control
Jin Yue, Canyu Yang, Kunlin Yang
doaj   +1 more source

Bandwidth Selection in Nonparametric Regression with Large Sample Size

Proceedings, 2018
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures, Ricardo Cao, Mario Francisco-Fernández   +2 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

POINTWISE UNIVERSAL CONSISTENCY OF NONPARAMETRIC LINEAR ESTIMATORS [PDF]

This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators. We show the applicability of these conditions for some classes of nonparametric estimators.
Jose M. Vidal-Sanz
core  

Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors

JTAM (Jurnal Teori dan Aplikasi Matematika)
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani, Rosita Hamdan   +3 more
doaj   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Nonparametric Econometrics: The np Package [PDF]

We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
core  

Nonparametric predictive inference with right-censored data [PDF]

, 2002
This thesis considers nonparametric predictive inference for lifetime data that include right-censored observations. The assumption A((_m)) proposed by Hill in 1968 provides a partially specified predictive distribution for a future observation given ...
Yan, Ke-Jian
core  

Dynamic Loading Regulates Meniscus‐Like Matrix Production in Human Mesenchymal Stromal Cell‐Seeded PET Scaffolds

Advanced Healthcare Materials, EarlyView.
Dynamic compression enhances mesenchymal stromal cell proliferation in nonwoven PET scaffolds under chondrogenic differentiation conditions and triggers mechanosensitive transcriptional programs associated with extracellular matrix remodeling. These findings highlight the potential of mechanically stimulated PET scaffolds as a promising platform for ...
Graciosa Quelhas Teixeira, Luisa de Roy, Anna‐Lotta Feldmeier, Mubashir Ahmad, Sofia Pilão, Maria Ahrens, Anita Ignatius, Carsten Linti, Andreas Martin Seitz   +8 more
wiley   +1 more source

A Nonparametric Examination of Capital-Skill Complementarity [PDF]

This paper uses nonparametric kernel methods to construct observation-specific elasticities of substitution for a balanced panel of 73 developed and developing countries to examine the capital-skill complementarity hypothesis.
Henderson, Daniel J.
core