Results 131 to 140 of about 6,413,007 (222)
We present a multidecadal analysis of the seismic response of a midrise reinforced concrete (RC) building in Taipei, Taiwan, combining legacy strong‐motion accelerograph (SMA‐1) data with recent recordings from a dense array of low‐cost microelectromechanical systems (MEMS)‐based Quake Structural Integrity System (QSIS) sensors.
Utpal Kumar +3 more
wiley +1 more source
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley +1 more source
ABSTRACT Purpose To present a novel, nonlinear subspace modeling and joint k–q‐space reconstruction technique for high‐resolution, multi‐band, multi‐shell diffusion‐weighted imaging (DWI). Methods High b‐value (> 1000 s/mm2), high resolution DWI has the drawback of generally low signal‐to‐noise ratios (SNRs).
Julius Glaser +4 more
wiley +1 more source
Heuristic Analysis of Time Series Internal Structure [PDF]
A method of analysis of Time Series Internal Structures based on Singular Spectrum Analysis is discussed. It has been shown that in the case when the Time Series contains deterministic additive components rank of the trajectory matrices equal to number ...
Alexander Milnikov, Cihan Mert
core
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman +4 more
wiley +1 more source
Image harmonization and de-harmonization based on singular value decomposition (SVD) in medical domain. [PDF]
Chen H +7 more
europepmc +1 more source
Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm. [PDF]
Tian K +5 more
europepmc +1 more source
Cold‐Air Pooling and Temperature‐Elevation Mapping in a Colorado Watershed
Abstract Near‐surface air temperature grids are important environmental model forcings. In narrow mountain valleys, most gridded products are too coarse to resolve variability across slopes, so regional studies often map temperature across terrain following locally determined lapse rates.
John Cramblitt +2 more
wiley +1 more source
Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress. [PDF]
Melgarejo MA +5 more
europepmc +1 more source
Spatio-Temporal Multiway Data Decomposition Using Principal Tensor Analysis on k-Modes: The R Package PTAk [PDF]
The purpose of this paper is to describe the R package {PTAk and how the spatio-temporal context can be taken into account in the analyses. Essentially PTAk() is a multiway multidimensional method to decompose a multi-entries data-array, seen ...
Didier G. Leibovici
core

