Results 231 to 240 of about 1,189 (299)
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
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
Reassessing the foundations of metric-affine gravity. [PDF]
François J, Ravera L.
europepmc +1 more source
Covariance Estimation for Wide Data
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
Quantum Talagrand, KKL and Friedgut's Theorems and the Learnability of Quantum Boolean Functions. [PDF]
Rouzé C, Wirth M, Zhang H.
europepmc +1 more source
Controls on Flow Separation at the River Bifurcation Head
Abstract Flow separation zones are common hydrodynamic features in river bifurcations, strongly influencing flow partitioning and channel morphology. While the inner‐bank separation zones have been widely recognized, we identify a previously underreported separation zone at the bifurcation head.
Zhaohui Deng +3 more
wiley +1 more source
Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection. [PDF]
Khan A, Khan S, Rahimzai AA, Abdullah S.
europepmc +1 more source
A resilient estimation and control framework is developed for smart‐grid cyber‐physical systems to simultaneously detect cyberattacks and estimate physical faults. The proposed method ensures accurate estimation and robust performance under disturbances and sparse sensor attacks.
Jin Li, Youmin Zhang
wiley +1 more source
Coherent Forecasting of Ordinal Time Series With Application to Air‐Quality Data
ABSTRACT Motivated by an application to air quality data, we provide a comprehensive investigation of coherent forecasting techniques for ordinal time series. Here, the coherency requirement expresses that the computed forecast values have to be consistent with the ordered qualitative range of the data‐generating process (DGP).
Christian H. Weiß +2 more
wiley +1 more source
Berezin Quantization, Conformal Welding and the Bott-Virasoro Group. [PDF]
Alekseev A, Shatashvili S, Takhtajan L.
europepmc +1 more source

