Results 231 to 240 of about 1,551,832 (303)
Social media insights on sepsis management using advanced natural language processing techniques. [PDF]
Shankar R, Mukhopadhyay A.
europepmc +1 more source
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon+7 more
wiley +1 more source
Enhancing sentiment analysis of online comments: a novel approach integrating topic modeling and deep learning. [PDF]
Zhu Y, Zhou R, Chen G, Zhang B.
europepmc +1 more source
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling+7 more
wiley +1 more source
Editorial: Computational intelligence for signal and image processing, volume II. [PDF]
Koundal D, Tohka J.
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Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch+2 more
wiley +1 more source
Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques. [PDF]
Elbattah M+2 more
europepmc +1 more source
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi+3 more
wiley +1 more source
Editorial: The diagnoses of glaucoma in the era of artificial intelligence. [PDF]
AlRyalat SA, Al Bdour M, Jammal HM.
europepmc +1 more source