Results 111 to 120 of about 607,794 (304)
Robust and nonparametric classification of gene expression data
Interpretable and accurate diagnostics models are one of the major components of personalised medicine. This setting shifts a conventional therapy of patients more to a treatment based on multiple molecular markers. Nowadays, a large amount of gene expression data can be obtained by technologies such as microarrays or RNA-Seq within hours or days.
openaire +2 more sources
Osseoperceptive EMG Feedback Improves Grasp Force Control in Myoelectric Prosthetic Hands
Osseoperception is explored as a non‐invasive pathway for delivering sensory feedback in myoelectric prosthetic control. By encoding the user's electromyographic (EMG) signal through bone‐conducted stimulation, this approach enables predictive grasp force regulation.
Cristian Felipe Blanco‐Diaz +2 more
wiley +1 more source
The micro-Doppler (μD) characteristics of ballistic targets are crucial for estimating motion and structural parameters, as well as for target recognition.
Dan Xu +6 more
doaj +1 more source
Nonparametric and Robust Methods
Rand R. Wilcox +3 more
openaire +3 more sources
Microgels enable independent control of stiffness and interstitial space, overcoming limitations of conventional 3D hydrogels. Using fragmented gelatin methacryloyl microgels, we show that stiffness does not restrict non‐metastatic breast cancer growth, contrary to bulk hydrogels, and reveal the role of adherent‐to‐suspension transition in cancer ...
Danielle Vahala +15 more
wiley +1 more source
Nonparametric predictive inference with right-censored data [PDF]
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
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Robust Functional Regression via FPCA, Copula-Scale Design, and Multivariate Bernstein Smoothing
We introduce a robust nonparametric regression framework for functional covariates that combines functional principal component analysis (FPCA), marginal copula-scale normalization, bounded-score M-estimation, and multivariate Bernstein smoothing.
Wahiba Bouabsa, Fatimah Alshahrani
doaj +1 more source
Nonparametric Specification Testing for Nonlinear Time Series with Nonstationarity [PDF]
This paper considers a nonparametric time series regression model with a nonstationary regressor. We construct a nonparametric test for testing whether the regression is of a known parametric form indexed by a vector of unknown parameters.
Zudi Lu +3 more
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