Results 111 to 120 of about 7,489 (260)

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

open access: yesLaser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová   +3 more
wiley   +1 more source

Localized Quadratic RF Encoded Spin‐Echo With Spiral‐PRIME Reconstruction: A Practical Alternative to 3D FSE for High‐Resolution Volumetric Brain MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy   +2 more
wiley   +1 more source

Multi‐Vendor and Multi‐Site Characterization of 13C Coils for Clinical Studies

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Due to the inherently low signal‐to‐noise ratio (SNR) domain for 13C imaging, optimal coil performance is essential to maximize data quality. Quality control (QC) for 13C coils employed in magnetic resonance spectroscopy (MRS) is of paramount importance.
Emil S. Christensen   +7 more
wiley   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad   +4 more
wiley   +1 more source

Solids Conveying in Injection Molding Machines—Analytical Model for Smooth and Grooved Feed Sections Derived From DEM Simulations

open access: yesPolymer Engineering &Science, EarlyView.
Understanding Solids Conveying in Injection Molding Machines – Dimensions. ABSTRACT Solids conveying is a key aspect for the design of polymer processing machines, especially for processes with high screw speeds, grooved feed sections, and material with low bulk density.
Jan Landgraeber   +4 more
wiley   +1 more source

New insights into convection‐permitting model simulations from a ZDR$$ {\boldsymbol{Z}}_{\mathbf{DR}} $$ diagnostic for raindrops

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A polarimetric radar forward operator to simulate differential reflectivity (ZDR$$ {Z}_{\mathrm{DR}} $$) from rain was developed to evaluate simulated storms in the Met Office Unified Model (MetUM) for two case days of the Wessex Convection Experiment (WesCon) field campaign. Vertical columns of ZDR$$ {Z}_{\mathrm{DR}} $$, indicative of strong updrafts,
Chun Hay Brian Lo   +10 more
wiley   +1 more source

Analysis of the fractional scattering contribution in the forward peak for multicomponent systems

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Derivation and justification of mixing rules for multicomponent systems. A novel formulation of the delta‐Eddington scaling rule. Analytical guidance for comparing radiative transfer results. Abstract The widely used δ‐Eddington approximation improves the accuracy of radiative transfer calculations by representing the fraction of scattering into the ...
Jiangnan Li, Yue Cai
wiley   +1 more source

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