Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms. [PDF]
Rajhi W +7 more
europepmc +1 more source
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger +2 more
wiley +1 more source
Experimental studies of the effects of hydrophobic coatings on flow separation around 3D bluff bodies. [PDF]
Siddiqui NA, Agelin-Chaab M.
europepmc +1 more source
A tool to model ensemble‐based atomic quantum memory experiments using the quantum channel formalism is presented, incorporating realistic loss and noise effects. It provides a digital twin of state‐of‐the‐art memories and demonstrates its applicability through a simulation of a memory‐assisted quantum token protocol. The framework is easily extendable
Elizabeth Jane Robertson +3 more
wiley +1 more source
Characterization of the spectra of rotating truncated gas planets and inertia-gravity modes. [PDF]
de Hoop MV, Holman S.
europepmc +1 more source
Analyzing the Free States of one Quantum Resource Theory as Resource States of Another
The article investigates how free states in one quantum resource theory can become highly resourceful in another. It systematically studies multipartite entanglement, fermionic non‐Gaussianity, imaginarity, realness, spin coherence, Clifford non‐stabilizerness, Sn‐equivariance, and non‐uniform entanglement, combining rigorous analytical tools and ...
Andrew E. Deneris +5 more
wiley +1 more source
Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder. [PDF]
Chaudhry S, Abdedou A, Soulaïmani A.
europepmc +1 more source
Intrinsic phase-based proper orthogonal decomposition (IPhaB POD): a method for physically interpretable modes in near-periodic systems [PDF]
Akhileshwar Borra +3 more
openalex +1 more source
Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling +2 more
wiley +1 more source

