Machine Learning-Based Wireless Indoor Positioning for Multi Floor Environments

Citation

Wan, Hao Zhe and Ng, Yin Hoe (2022) Machine Learning-Based Wireless Indoor Positioning for Multi Floor Environments. Periodic Research Publication, Faculty of Engineering. (Unpublished)

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Abstract

Fingerprinting based indoor positioning are weak in dynamic environment. As the change of indoor environment could affect and distort the accuracy, causes that the recollection of database are required to be done frequently.

Item Type: Other
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering (FOE)
Depositing User: Assoc. Dr Chee Pun Ooi
Date Deposited: 29 Nov 2022 01:03
Last Modified: 29 Nov 2022 01:03
URII: http://shdl.mmu.edu.my/id/eprint/10643

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