Structural crack detection using deep convolutional neural network /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
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| Subjects: | |
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| LEADER | 01189nam a2200337 i 4500 | ||
|---|---|---|---|
| 001 | u1160304 | ||
| 003 | SIRSI | ||
| 005 | 202301101041 | ||
| 008 | 230110s2022 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 090 | |a TK7 |b UMP 2022 Ali | ||
| 100 | 1 | |a Ali, Raza, |e author. | |
| 245 | 1 | 0 | |a Structural crack detection using deep convolutional neural network / |c Raza Ali. |
| 264 | 1 | |c 2022. | |
| 300 | |a vi, 198 leaves : |b illustrations (some colour) ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2022. | ||
| 504 | |a Bibliography: leaves 165-183. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Computer vision | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 900 | |a msar, Nam, msp | ||
| 901 | |a 090-1- copy in process. | ||
| 596 | |a 1 | ||
| 999 | |a XX(1160304.1) |w LC |c 1 |i 1160304-1001 |l INPROCESS |m P01UTAMA |r Y |s Y |t TESIS |u 10/1/2023 | ||