Open AccessThe Indoor Positioning System Using Fingerprint Method Based Deep Neural Network
Author(s) -
Reza Firsandaya Malik,
R Gustifa,
Al Farissi,
Deris Stiawan,
Huda Ubaya,
Mohd Riduan Ahmad,
A. S. Khirbeet
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/248/1/012077
Subject(s) - rss , fingerprint (computing) , computer science , artificial neural network , indoor positioning system , fingerprint recognition , set (abstract data type) , position (finance) , layer (electronics) , artificial intelligence , point (geometry) , real time computing , pattern recognition (psychology) , data mining , mathematics , accelerometer , chemistry , geometry , organic chemistry , finance , economics , programming language , operating system