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of 5
pro vyhledávání: '"Aqilah Binti Mazlan"'
Autor:
Aqilah Binti Mazlan, Yin Hoe Ng
Publikováno v:
IEEE Access, Vol 12, Pp 179726-179747 (2024)
Driven by the burgeoning demand for location-based services, the quest for robust indoor positioning systems (IPSs) becomes increasingly imperative. Currently, fingerprint-based approach has emerged as the predominant technique for IPSs because of it
Externí odkaz:
https://doaj.org/article/808fd76d0a964b04ad55a35ba1cf199b
Autor:
Aqilah Binti Mazlan, Yin Hoe Ng
Publikováno v:
IEEE Access, Vol 12, Pp 77284-77299 (2024)
The proliferation of mobile devices has fueled the demand for indoor location-based services. Consequently, a plethora of techniques have emerged to facilitate object and device localization in indoor environments. Among these, fingerprint-based indo
Externí odkaz:
https://doaj.org/article/7f13976366e54aafa100677e2f936c5b
Publikováno v:
IEEE Access, Vol 10, Pp 65326-65338 (2022)
Fingerprint-based indoor positioning systems (F-IPS) may provide inexpensive solutions to GPS-denied environments. Most F-IPSs adopt traditional machine learning for position prediction, resulting in low accuracy. Deep neural networks (DNN) were rece
Externí odkaz:
https://doaj.org/article/4f7a3aea0ec043d5a1a2ebf4817e58ca
Autor:
Nur Hidayu Binti Abd Rashid, Nur Aimi Zayani Binti Mahadi, Nur Sobbah Binti Abdul Aziz, Nur Aqilah Binti Mazlan, Nur Nuha Binti Nor Hisam, Daisy Mui Hung Kee
Publikováno v:
International Journal of Accounting & Finance in Asia Pasific. 4:107-117
The purpose of this study is to investigate the impact of using cashless payment during the Covid-19 pandemic. Maybank is the largest bank in Malaysia and listed as the top ranking of banking institutions. Maybank offers various types of services inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8c66b181ae21935bd30188bde14e21
https://doi.org/10.32535/ijafap.v4i2.1118
https://doi.org/10.32535/ijafap.v4i2.1118
Publikováno v:
Sustainability; Volume 14; Issue 21; Pages: 14652
Indoor positioning systems have been of great importance, especially for applications that require the precise location of objects and users. Convolutional neural network-based indoor positioning systems (IPS) have garnered much interest in recent ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e38e76d508428eaa0aa0f6a4a40196c
https://doi.org/10.3390/su142114652
https://doi.org/10.3390/su142114652