Results 211 to 220 of about 62,622 (323)

Real-Time ECG Artifact Removal for Adaptive Deep Brain Stimulation: A Comparative Study. [PDF]

open access: yesSensors (Basel)
Silvi L   +5 more
europepmc   +1 more source

Geometrical Interpretation of Singular Value Decomposition(Svd) & Applications of SVD

open access: yesInternational Journal of Scientific and Innovative Mathematical Research, 2017
openaire   +1 more source

Stabilizing Plasmodium falciparum proteins for small molecule drug discovery

open access: yesProtein Science, Volume 35, Issue 6, June 2026.
Abstract Early‐stage drug discovery relies on the availability of stable protein for reliable biophysical characterization of ligand binding. However, many Plasmodium falciparum proteins are challenging to produce in heterologous systems, which limits their experimental utility.
Marius Amann   +3 more
wiley   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

Covariance Estimation for Wide Data

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley   +1 more source

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