AN IMPROVED APPROACH FOR LONG RANGE LOCALIZATION BY ENSEMBLE OF MACHINE LEARNING ALGORITHMS BASED ON ENHANCED FINGERPRINT SYSTEM

MAGSI, SAEED AHMED (2023) AN IMPROVED APPROACH FOR LONG RANGE LOCALIZATION BY ENSEMBLE OF MACHINE LEARNING ALGORITHMS BASED ON ENHANCED FINGERPRINT SYSTEM. Doctoral thesis, Universiti Teknologi PETRONAS.

Full text not available from this repository.

Abstract

Internet of Things (IoT) has rapidly grown in the last few years. One important field of the IoT is localization. Long Range (LoRa) protocol is well suited to support localization applications in IoTs due to its low-power consumption, long-range, and minimum infrastructure setup.

Item Type:	Thesis (Doctoral)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:	Engineering > Electrical and Electronic
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	05 Jun 2024 09:07
Last Modified:	05 Jun 2024 09:07
URI:	http://utpedia.utp.edu.my/id/eprint/27056

Actions (login required)

: View Item