Results 181 to 190 of about 9,816 (301)

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives

open access: yesiMeta, EarlyView.
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang   +26 more
wiley   +1 more source

EUPopLink Country report - Serbia. [PDF]

open access: yesOpen Res Eur
Lazarevic A, Markovic A.
europepmc   +1 more source

Reversible attack based on local visible adversarial perturbation [PDF]

open access: yes
Adding perturbation to images can mislead classification models to produce incorrect results. Based on this, research has exploited adversarial perturbation to protect private images from retrieval by malicious intelligent models.
Zhu, Shaowei   +3 more
core  

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

open access: yesiNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren   +6 more
wiley   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad   +5 more
wiley   +1 more source

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