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A dual-stream deep learning architecture for business impact scoring and alert escalation.

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Title: A dual-stream deep learning architecture for business impact scoring and alert escalation.
Authors: Javeed MS; Information science, Trine University, Allen Park, Michigan, United States of America., Khatun MM; Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh., Alom J; Information Technology, Washington University of Science and Technology, Alexandria, Virginia, United States of America., Islam R; Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh., Shoaib HA; Information Technology, St. Francis College, Brooklyn, New York, United States of America.
Source: PloS one [PLoS One] 2026 Jul 13; Vol. 21 (7), pp. e0350676. 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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  Data: <searchLink fieldCode="AU" term="%22Javeed+MS%22">Javeed MS</searchLink>; Information science, Trine University, Allen Park, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Khatun+MM%22">Khatun MM</searchLink>; Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Alom+J%22">Alom J</searchLink>; Information Technology, Washington University of Science and Technology, Alexandria, Virginia, United States of America.<br /><searchLink fieldCode="AU" term="%22Islam+R%22">Islam R</searchLink>; Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Shoaib+HA%22">Shoaib HA</searchLink>; Information Technology, St. Francis College, Brooklyn, New York, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jul 13; Vol. 21 (7), pp. e0350676. <i>Date of Electronic Publication: </i>2026 Jul 13 (<i>Print Publication: </i>2026).
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