View in EDS HTML Full Text PDF Full Text

High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning.

Saved in:
Bibliographic Details
Title: High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning.
Authors: Hazzazi MM; Department of Mathematics, College of Science, King Khalid University, 61413, Abha, Saudi Arabia., Shukla PK; Department of Computer Science and Engineering, Amity School of Engineering and Technology (ASET), Amity University Mumbai, Mumbai, Maharashtra, 410206, India., Shukla PK; Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technological University of Madhya Pradesh), Bhopal, India, Madhya Pradesh, 462033. piyush@rgpv.ac.in., Alblehai F; Computer Science Department, Community College, King Saud University, 11437, Riyadh, Saudi Arabia., Nooh S; Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, 22254, Jeddah, Saudi Arabia., Shah MA; Department of Economics, Kardan University, Parwane Du, Kabul, 1001, Afghanistan. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. m.asif@kardan.edu.af.
Source: Scientific reports [Sci Rep] 2025 Apr 29; Vol. 15 (1), pp. 15064. Date of Electronic Publication: 2025 Apr 29.
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
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-97715-8