Federated edge-AI for reliable and privacy-preserving pipeline leak detection in drone swarms using neutrosophic sugeno-weber norms.

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Bibliographic Details
Title: Federated edge-AI for reliable and privacy-preserving pipeline leak detection in drone swarms using neutrosophic sugeno-weber norms.
Authors: Zulqarnain RM; School of Business, Xian International University, Xian, 710077, Shaanxi, China., Hameed MS; Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan., Saeedi G; Department of Mathematics, Kabul Polytechnic University, Kabul, Afghanistan. gh.saeedi@kpu.edu.af., Hashmi MA; Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan., Noreen E; Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan., Kamran M; Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, Tamil Nadu, India., Simic V; Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.; Faculty of Engineering, Dogus University, 34775, Umraniye, Istanbul, Türkiye.; Department of Marine Navigation, Vilnius Gediminas Technical University, I. Kanto g. 7, Klaipèda, 92123, Lithuania.
Source: Scientific reports [Sci Rep] 2026 Mar 16; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 16.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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