Results 201 to 210 of about 48,579 (315)

Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley   +1 more source

Validation and feasibility of fast knee MRI using a deep learning-assisted 3D iterative image enhancement system. [PDF]

open access: yesQuant Imaging Med Surg
Zhu X   +10 more
europepmc   +1 more source

Pseudo‐Radar Reflectivity by Applying U‐Net Models to Global Passive Microwave Brightness Temperatures

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Spaceborne radar systems such as the Global Precipitation Measurement Mission (GPM)'s core satellite Dual‐frequency Precipitation Radar (DPR) provide global insight into precipitation structure, storm morphology, and hydrological cycles. However, their limited spatial and temporal sampling and high cost constrain their ability to continuously ...
Florian Morvais, Chuntao Liu
wiley   +1 more source

Spectropolarimetric Holographic Multiplexing Metasurface With Super‐High Capacity Empowered by Mechanical Rotation

open access: yesNanophotonics, Volume 15, Issue 9, 13 May 2026.
Mechanically reconfigurable metasurfaces enable high‐capacity optical storage and holography due to low cost/complexity. A differentiable inverse design framework maps meta‐atom geometries to multichannel optical responses via deep neural networks. Rotatable cascaded metasurfaces optimized through this pipeline achieve pixel‐level holography with 288 ...
Ting Ma   +4 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, Volume 13, Issue 26, 8 May 2026.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan   +24 more
wiley   +1 more source

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