A hybrid trilateration and fingerprinting approach for indoor localization using kernel online sequential extreme learning machine /

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Bibliographic Details
Main Author: Khan, Sher (Author)
Format: Thesis Book
Language:English
Published: 2018.
Subjects:
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005 201810120935
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040 |a UMM  |e rda 
090 |a QA76  |b UM 2018 Kha 
100 1 |a Khan, Sher,  |e author. 
245 1 2 |a A hybrid trilateration and fingerprinting approach for indoor localization using kernel online sequential extreme learning machine /  |c Sher Khan. 
264 1 |c 2018. 
300 |a xv, 85 leaves :  |b illustrations ;  |c 30 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
502 |b M.Comp.Sc.  |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya  |d 2017. 
504 |a Bibliography: 72-81 leaves. 
650 0 |a Indoor positioning systems (Wireless localization) 
650 0 |a Fingerprints. 
650 0 |a Kernel functions. 
650 0 |a Wireless communication systems. 
650 0 |a Data structures (Computer science) 
650 0 |a Machine learning. 
710 2 |a Universiti Malaya.  |b Jabatan Kepintaran Buatan,  |e degree granting institution. 
596 |a 1 
900 |a NSM 
999 |a QA76 UM 2018 KHA  |w LC  |c 1  |i A516594495  |d 18/10/2018  |f 18/10/2018  |g 1  |l STACKS  |m P01UTAMA  |r Y  |s Y  |t TESIS  |u 18/10/2018  |1 STEM