Ontology- and LLM-based data harmonization for federated learning in healthcare. [PDF]
Kokash N +7 more
europepmc +1 more source
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
Federated Learning for Histopathology Image Classification: A Systematic Review. [PDF]
Touhami M +3 more
europepmc +1 more source
Advanced flexible brain computer interface materials: From development to application
This review explores how novel materials coatings are advancing brain‐computer interface (BCI) technology. It describes how these materials help overcome key challenges in signal accuracy, biocompatibility, and device durability. The paper highlights BCI applications in medicine and entertainment, and discusses future trends that could transform human ...
Renquan Guan +5 more
wiley +1 more source
Secure Hierarchical Asynchronous Federated Learning with Shuffle Model and Mask-DP. [PDF]
Chen Y, Ai D, Yan L.
europepmc +1 more source
Monitoring and assessment for obstructive sleep apnea
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu +6 more
wiley +1 more source
A federated learning with Large-Small Kernel Attention Network for image classification. [PDF]
Liu T, Xie J, Dong H.
europepmc +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
Smart Livestock: A Federated Learning Based System for Real-Time Cattle Health, Stress and Water Resource Monitoring. [PDF]
Gulati V +4 more
europepmc +1 more source
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source

