RSSI-based indoor localization over LoRa network a machine learning based approach for accurate localization
Material type:
TextPublication details: Islamabad (unpublished) 2024Description: 157 p. : ill. ; 30 cm. +CDSubject(s): DDC classification: - 005.1 AFE
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis
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Main Campus | 005.1 AFE (Browse shelf(Opens below)) | 1 | NOT for LOAN | 102622 |
Submitted in the partial fulfillment of the requirements for the degree of Master of Science in software engineering to the Faculty of Computing.
Includes bibliographical references
Thesis supervisor: Dr. Muhammad Mansoor Alam
Thesis co-supervisor: Dr. Muhammad Ayoub Kamal
Thesis (MS)--Riphah International University, 2024
English
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