Results 41 to 50 of about 78,543 (258)
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
The timely detection and precise classification of brain tumors using techniques such as magnetic resonance imaging (MRI) are imperative for optimizing treatment strategies and improving patient outcomes.
Gowtham Murugesan +2 more
doaj +1 more source
Review of Survey Research in Fuzzy Approach for Text Mining
Text mining has been a popular research topic in the field of natural language processing. With the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of
Yi-Wei Lai, Mu-Yen Chen
doaj +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
L'analyse des masses de données textuelles nécessite l'utilisation de méthodes mêlant harmonieusement différentes disciplines comme l'informatique, la linguistique ou les statistiques. L'ensemble de ces méthodes utiles pour traiter de telles données, souvent hétérogènes, forme le socle de la Science des Données Textuelles.
openaire +2 more sources
Computational Topology in Text Mining [PDF]
In this paper we present our ongoing research on applying computational topology to analysis of structure of similarities within a collection of text documents. Our work is on the fringe between text mining and computational topology, and we describe techniques from each of these disciplines.
Hubert Wagner +2 more
openaire +2 more sources
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Using Text Mining to Characterize Online Discussion Facilitation
Facilitating class discussions effectively is a critical yet challenging component of instruction, particularly in online environments where student and faculty interaction is limited.
Norma Ming, Eric P.S. Baumer
doaj +1 more source
This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory.
Renata G. Alcoforado +1 more
doaj +1 more source

