Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid.

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Bibliographic Details
Title: Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid.
Authors: Fatima A; Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan., Asjad MI; Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan. imran.asjad@umt.edu.pk.; Center for Theoretical Physics, Khazar University, 41 Mehseti Str., AZ1096, Baku, Azerbaijan. imran.asjad@umt.edu.pk.; Department of Computer Engineering, Biruni University, 34010, Istanbul, Turkey. imran.asjad@umt.edu.pk., Aslam MN; Department of Mathematics, Lahore Garrison University, Lahore, Pakistan., Riaz MB; IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic.; Applied Science Research Center, Applied Science Private University, Amman, Jordan.
Source: Scientific reports [Sci Rep] 2026 Apr 01; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 01.
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
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-45305-7