MosQNet-SA: Explainable convolutional-attention network for mosquito classification with application as a RESTful API for dengue and malaria risk mapping.

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Title: MosQNet-SA: Explainable convolutional-attention network for mosquito classification with application as a RESTful API for dengue and malaria risk mapping.
Authors: Masud MA; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Akter S; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Sultana N; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Islam MS; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Abu Yousuf M; Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh., Noori FM; Department of Informatics, University of Oslo, Oslo, Norway., Uddin MZ; Sustainable Communication Technologies, SINTEF Digital, Oslo, Norway.
Source: PloS one [PLoS One] 2026 Apr 08; Vol. 21 (4), pp. e0344970. Date of Electronic Publication: 2026 Apr 08 (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.0344970