Real-time vision-based Malaysian road sign recognition using an artificial neural network /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2017.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14252/ |
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| LEADER | 01372cam a2200325 i 4500 | ||
|---|---|---|---|
| 001 | u1076440 | ||
| 003 | SIRSI | ||
| 005 | 201803050932 | ||
| 008 | 180305s2017 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 043 | |a a-my--- | ||
| 090 | |a QA76 |b UM 2017 Isl | ||
| 100 | 1 | |a Islam, Kh Tohidul, |e author. | |
| 245 | 1 | 0 | |a Real-time vision-based Malaysian road sign recognition using an artificial neural network / |c Kh Tohidu Islam. |
| 264 | 1 | |c 2017. | |
| 300 | |a xvii, 108 laveas : |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 Maalaya |d 2017. | ||
| 504 | |a Bibliography: leaves 91-100. | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Traffic signs and signals |z Malaysia |x Automation | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14252/ |
| 596 | |a 1 25 | ||
| 900 | |a NSR NSM | ||
| 999 | |a QA76 UM 2017 ISI |w LC |c 1 |i A517076470 |d 17/4/2018 |f 17/4/2018 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 13/4/2018 |1 STEM | ||
| 999 | |a QA76 UM 2017 ISI |w LC |c 1 |i A516813624 |f 6/6/2023 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 6/6/2023 |1 STEM |o .STAFF. MST-CD2568 | ||