Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.

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Bibliographic Details
Title: Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.
Authors: Sabah A; Department of Computer Science, Faculty of Education for women, University of Kufa, Najaf, Iraq., Alaa Z; Department of Computer Science, Faculty of Education for women, University of Kufa, Najaf, Iraq.
Source: PloS one [PLoS One] 2026 Jul 13; Vol. 21 (7), pp. e0353506. Date of Electronic Publication: 2026 Jul 13 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0353506