Preview: SISTEM ESTIMASI POSISI DI DALAM GEDUNG BERTINGKAT MENGGUNAKAN METODE FINGERPRINT BERDASARKAN SUPPORT VECTOR MACHINE (SVM)

Main Authors:	MARFIANSHAR, NANDA HASYIM, Malik, Reza Firsandaya, Firdaus, Firdaus
Format:	Thesis NonPeerReviewed Book
Bahasa:	ind
Terbitan:	, 2019
Subjects:	Q334.A755 Artificial intelligence. Computational linguistics. Computer science T1-995 Technology (General) TK5105.5.S72 Computer networks
Online Access:	http://repository.unsri.ac.id/24449/3/RAMA_56201_09011281520096.pdf http://repository.unsri.ac.id/24449/9/RAMA_56201_09011281520096_TURNITIN.pdf http://repository.unsri.ac.id/24449/1/RAMA_56201_09011281520096_0025047609_0221017801_01_front_re.pdf http://repository.unsri.ac.id/24449/2/RAMA_56201_09011281520096_0025047609_0221017801_02.pdf http://repository.unsri.ac.id/24449/4/RAMA_56201_09011281520096_0025047609_0221017801_03.pdf http://repository.unsri.ac.id/24449/5/RAMA_56201_09011281520096_0025047609_0221017801_04.pdf http://repository.unsri.ac.id/24449/6/RAMA_56201_09011281520096_0025047609_0221017801_05.pdf http://repository.unsri.ac.id/24449/7/RAMA_56201_09011281520096_0025047609_0221017801_ref.pdf http://repository.unsri.ac.id/24449/8/RAMA_56201_09011281520096_0025047609_0221017801_07_lamp.pdf http://repository.unsri.ac.id/24449/