Citation

Mazlan, Aqilah and Ng, Yin Hoe and Yip, Sook Chin (2022) Machine Learning Based Indoo Positioning System. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text AQILAH BINTI MAZLAN-foe.pdf - Submitted Version Restricted to Repository staff only Download (609kB)

Abstract

Location-based services (LBSs) offer services to users by leveraging a the user’s physical location. A highly accurate indoor localization system (IPS) is now achievable thanks to the advancements wireless communication networks and built-in sensors in mobile devices. However, deploying the system to a resource constrained device may still be difficult due to the system’s computational complexity and implementation costs. I

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	wireless communication networks, convolutional neural network
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Dec 2022 06:32
Last Modified:	28 Dec 2022 06:32
URII:	http://shdl.mmu.edu.my/id/eprint/11031

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