Results 231 to 240 of about 596,937 (313)
A Dataset of Widefield Fundus Images From Patients With Birdshot Chorioretinitis and Matched Control. [PDF]
Foulonneau T +4 more
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Pathological diagnosis of thyroid nodules directly from ultrasonography by a weakly supervised deep learning framework. [PDF]
Hou XW +14 more
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models. [PDF]
Troya J +10 more
europepmc +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
TailBoost: Tail-Synthetic Learning for Boosting Long-Tailed Skin Cancer Image Classification. [PDF]
Wei T, Huang Y, Lin L, Cheng P, Tang X.
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Research on Multi-Agent Semantic Communication Framework Based on Comparative Learning Joint Optimization. [PDF]
Yang H +6 more
europepmc +1 more source

