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 (Unpublished)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
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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) |
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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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