Kernel and multi-class classifiers for multi-floor wlan localisation
Indoor localisation techniques in multi-floor environments are emerging for location based service applications. Developing an accurate location determination and time-efficient technique is crucial for online location estimation of the multi-floor localisation system. The localisation accuracy and...
Gorde:
Egile nagusia: | Abd Rahman, Mohd Amiruddin |
---|---|
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
2016
|
Gaiak: | |
Sarrera elektronikoa: | http://psasir.upm.edu.my/id/eprint/69187/1/FS%202016%2052%20IR.pdf |
Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
Antzeko izenburuak
-
Kernel and multi-class classifiers for multi-floor wlan localisation /
nork: Mohd Amiruddin Abd Rahman. -
Kernel and multi-class classifiers for multi-floor wlan localisation
nork: Abd Rahman, Mohd Amiruddin
Argitaratua: (2016) -
Averaged kernel floor localization algorithm for multi-floor WLAN positioning
nork: Abd Rahman, Mohd Amiruddin, et al.
Argitaratua: (2017) -
Class-based weighted window for TCP fairness in WLANs
nork: Seyedzadegan, Mojtaba, et al.
Argitaratua: (2009) -
Enhancing the MAC throughput by two schemes of frames aggregation with eA-MSDU in WLANs
nork: Al-Dulaimy, Osamah Samer
Argitaratua: (2017)