Results 61 to 70 of about 9,059 (226)
1DCNN Fault Diagnosis Based on Cubic Spline Interpolation Pooling
The conventional pooling method for processing one-dimensional vibration signals may lead to certain issues, such as weakening and loss of feature information. The present study proposes the cubic spline interpolation pooling method.
Shuzhan Huang +4 more
doaj +1 more source
A Space-Variant Cubic-Spline Interpolation
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Jianxing Jiang +2 more
openaire +3 more sources
Flow 2.0: A Standardized Toolbox for Real‐Time Phase‐Contrast MRI of Neurofluid Dynamics
ABSTRACT Purpose Real‐time phase‐contrast MRI (RT‐PC) enables continuous quantification of physiological flow dynamics across multiple temporal frequencies, but its broader application is limited by complex and fragmented post‐processing workflows.
Pan Liu, Olivier Balédent
wiley +1 more source
Single (one-dimensional) and bi-cubic (two-dimensional) splines have been used in numerical weather prediction models since about 1970. Especially the semi-Lagrangian advection schemes have been developed with the help of the spline interpolation method.
Thomas Prenosil, H.G. Becker
doaj +1 more source
ABSTRACT We present p‐Brain, a modular, open‐source framework for reproducible, automated quantitative DCE‐MRI at scale. Rather than a fixed pipeline, p‐Brain is built from interchangeable stages (ingestion, T1/M0$$ {T}_1/{M}_0 $$ fitting, vascular and tissue ROI extraction, signal‐to‐concentration conversion, kinetic modeling, and quality control ...
Edis D. Tireli +5 more
wiley +1 more source
Discrete cubic spline interpolation
In the present paper we study the existence, uniqueness and convergence of discrete cubic spline which interpolate to a given function at one interior point of each mesh interval. Our result in particular, includes the interpolation problems concerning continuous periodic cubic splines and discrete cubic splines with boundary conditions considered ...
Dikshit, H.P., Powar, P.
openaire +1 more source
We propose R3Net, a decoder‐free medical image segmentation framework that recursively refines multiscale representations within the encoder using residual pathways. R3Net achieves competitive accuracy with reduced model complexity and improved computational efficiency across multiple medical imaging modalities.
Jing Huang +5 more
wiley +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
This study explores the possibility of using frequency responses function curvature method and cubic spline interpolation to locate the storeys of a building that is damaged in an earthquake, and corresponding frequency responses function curvature of ...
Su Wei-Chih, Huang Chiung-Shiann
doaj +1 more source
Pretreatment of Ultra-Weak Fiber Bragg Grating Hydrophone Array Based on Cubic Spline Interpolation Using Intensity Compensation. [PDF]
Pang Y +5 more
europepmc +1 more source

