Results 171 to 180 of about 57,699 (297)

Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy. [PDF]

Med Phys
Pflaum A, Brand N, Kempf E, Weidner J, Eulenstein D, Delfs V, Poppe B, Looe HK.   +7 more
europepmc   +1 more source

A role for environmental niche divergence in the rapid radiation of Nicotiana section Suaveolentes (Solanaceae)

TAXON, Volume 75, Issue 3, June 2026.
Abstract Nicotiana sect. Suaveolentes is a group that has undergone recent and rapid radiation, a clade that originated ca. six million years ago and has since rapidly speciated throughout Australia, with a few taxa on Pacific Islands and one in Namibia (Africa). Post‐tetraploidisation, species in N. sect.
Charlotte Phillips, Maïté Guignard, Luiz A. Cauz‐Santos, Maarten J.M. Christenhusz, Leylson Ferreira de Araújo, Felipe Nollet, Mark W. Chase, Steven Dodsworth   +7 more
wiley   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Downscaling the spatial resolution of satellite imagery based on morphometric parameters to estimate the Topographic Wetness Index using GIS tools. [PDF]

Sci Rep
Shabbir H, Ehsan M, Raza D, Sohail MT, Alqahtani H, Almutairi R, Almutairi Y.   +6 more
europepmc   +1 more source

Structure‐preserving interpolation of quadratic‐bilinear systems via regular multivariate transfer functions [PDF]

Peter Benner, Serkan Gugercin, Steffen W. R. Werner   +2 more
openalex   +1 more source

Inferring Internal Structures of Porous Media From Orthogonal External Surfaces: A Novel 2D‐to‐3D Reconstruction Method Based on a Deep Conditional Diffusion Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Diffusion models, a class of generative models renowned for producing realistic images, hold significant promise for reconstructing complex three‐dimensional (3D) porous media. Nevertheless, existing approaches predominantly generate stochastic microstructures visually resembling the training data but often struggle to accurately recover ...
Yinquan Meng, Jianguo Jiang, Benzhong Zhao, Shujun Ye, Dong Wang, Jichun Wu   +5 more
wiley   +1 more source

A Comparative Evaluation of Super-Resolution Methods for Spectral Images Using Pretrained RGB Models. [PDF]

Sensors (Basel)
Shokoohi N, Fsian AN, Thomas JB, Gouton P.   +3 more
europepmc   +1 more source

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh, Ravi Kumar Kunchala, Sarvesh Dubey, Chiranjit Das, Balaji Baduru   +4 more
wiley   +1 more source

A Robust Finite Element Method for Linearized Magnetohydrodynamics on General Domains. [PDF]

J Sci Comput
da Veiga LB, Lovadina C, Trezzi M.
europepmc   +1 more source

Data Resolution and Model Complexity in Pluvial Flood Risk Assessment: Insights and Trade‐Offs

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT The increasing severity and frequency of urban pluvial floods has prompted numerous research studies on pluvial flood risk assessment. However, the literature reveals significant variability in the data resolutions and model types employed.
Fabrizia Fappiano, Max Maurer, João P. Leitão   +2 more
wiley   +1 more source