Results 221 to 230 of about 16,046 (295)

Generative Semantic Communication for Efficient Utilization of Satellite Resources in 6G

open access: yesInternational Journal of Satellite Communications and Networking, Volume 44, Issue 4, Page 368-377, July/August 2026.
ABSTRACT In this paper, a two‐stage resource allocation framework is proposed for generative semantic communication (GSC)–enabled multibeam satellite systems. By integrating semantic compression and generative artificial intelligence, GSC enables efficient downlink transmission by allowing users to reconstruct content from compressed semantic prompts ...
Hyein Lee   +5 more
wiley   +1 more source

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

open access: yesMarine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese   +3 more
wiley   +1 more source

Physics‐Supervised Autonomous Inverse Fracture Modeling via Generative Artificial Intelligence

open access: yesGeophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Fracture networks act as critical pathways for groundwater flow and transport, yet their characterization remains challenging due to subsurface inaccessibility and stochastic complexity. Traditional inversion methods are computationally expensive and often fail to capture fracture heterogeneity accurately.
Guodong Chen   +5 more
wiley   +1 more source

Comparative evaluation of generative artificial intelligence models for synthetic knee radiograph augmentation in clinical research. [PDF]

open access: yesBMC Med Imaging
Chung K   +9 more
europepmc   +1 more source

Automatic adaptive radiotherapy triggering based on CBCT using deep learning for esophageal cancer underwent volumetric modulated arc therapy

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Esophageal cancer (EC) is a highly fatal malignancy for which radiotherapy plays a critical role in treatment. However, anatomical changes during radiotherapy can lead to increased doses to surrounding organs at risk (OARs). Adaptive radiotherapy (ART) is a strategy that incorporates patient‐specific anatomic changes into treatment ...
Juebin Jin   +12 more
wiley   +1 more source

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