Results 161 to 170 of about 5,871 (248)

Using the Fourier Neural Operator and Real‐Time GOES‐R Satellite Data for Precipitation Retrievals in the Southern Great Plains

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract In the U. S. Southern Great Plains (SGP) region, severe weather occurs regularly during the warm season (e.g., June–August), causing extensive property damage and loss of life. Despite advancements in observations and numerical models, estimating precipitation associated with these severe weather events remains challenging, thereby ...
Max Johncox, Zhaoxia Pu, Shandian Zhe
wiley   +1 more source

Space‐Time Causal Discovery in Earth System Science: A Local Stencil Learning Approach

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Causal discovery tools enable scientists to infer meaningful relationships from observational data, spurring advances in fields as diverse as biology, economics, and climate science. Despite these successes, the application of causal discovery to space‐time systems remains immensely challenging due to the high‐dimensional nature of the data ...
J. Jake Nichol   +5 more
wiley   +1 more source

Unstructured Grid Based Joint Inversion of DC Resistivity and Gravity Data: Adaptive FCM Assisted Model Coupling and Quantitative Similarity Analysis

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Many geophysical studies have highlighted the limitations of relying on a single geophysical data set to understand subsurface conditions. Often, individual inversions yield inconsistent geologic models. To address this issue, this study integrates direct current (DC) resistivity and gravity data within a joint inversion (JI) framework.
Vishnu Kant Verma, Anand Singh
wiley   +1 more source

Learning high-accuracy error decoding for quantum processors. [PDF]

open access: yesNature
Bausch J   +17 more
europepmc   +1 more source

Accelerating Marchenko Imaging by Self‐Supervised Prediction of Focusing Functions

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Marchenko redatuming retrieves full‐wavefield Green's functions, which can be used to generate subsurface images free from artifacts caused by internal multiples. This is achieved by solving the Marchenko equations for focusing functions, which establish a link between Green's functions and the surface reflection response.
N. Wang, M. Ravasi, T. Alkhalifah
wiley   +1 more source

Genotypic Analysis of Candida tropicalis Clinical Isolates From Korea via Multilocus Sequence Typing

open access: yesMicrobiologyOpen, Volume 14, Issue 4, August 2025.
Multilocus sequence typing of 34 Candida tropicalis clinical isolates from Korea revealed three novel sequence types and evidence of genetic recombination. These findings highlight the ongoing genetic diversification and underscore the need for integrated genomic surveillance of emerging antifungal‐resistant strains.
Hye‐won Park   +11 more
wiley   +1 more source

High‐resolution, volumetric diffusion‐weighted MR spectroscopic imaging of the brain

open access: yesMagnetic Resonance in Medicine, Volume 94, Issue 2, Page 450-469, August 2025.
ABSTRACT Purpose To achieve high‐resolution, three‐dimensional (3D) quantitative diffusion‐weighted MR spectroscopic imaging (DW‐MRSI) for molecule‐specific microstructural imaging of the brain. Methods We introduced and integrated several innovative acquisition and processing strategies for DW‐MRSI: (a) a new double‐spin‐echo sequence combining ...
Zepeng Wang, Bradley P. Sutton, Fan Lam
wiley   +1 more source

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