Development of sensor based human activity recognition system with artifical intelligence /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2019.
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| Subjects: | |
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| LEADER | 01472cam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | u1133941 | ||
| 003 | SIRSI | ||
| 005 | 202006040925 | ||
| 008 | 200604s2019 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 090 | |a TJ7 |b UM 2019 Jua | ||
| 100 | 1 | |a Juartiyono, Bayu Aryadica, |e author. | |
| 245 | 1 | 0 | |a Development of sensor based human activity recognition system with artifical intelligence / |c Bayu Aryadica Juartiyono. |
| 264 | 1 | |c 2019. | |
| 300 | |a xiv, 105 leaves : |b illustrations (some colour) ; |c 30 cm | ||
| 336 | |a text |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 M.Eng. |c Jabatan Kejuruteraan Mekanikal, Fakulti Kejuruteraan, Universiti Malaya |d 2019. | ||
| 504 | |a Bibliography: leaves 103-105. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Human activity recognition. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Modal analysis. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Mekanik, |e degree granting institution. | |
| 900 | |a MSI NSM | ||
| 596 | |a 1 25 | ||
| 999 | |a TJ7 UM 2019 JUA |w LC |c 1 |i A517491571 |f 12/6/2020 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 12/6/2020 |1 STEM |o .PUBLIC. Embargoed until 13.12.2021. Released to stack 06-Jan-2022 |o .STAFF. | ||
| 999 | |a TJ7 UM 2019 JUA |w LC |c 1 |i A517493325 |f 11/1/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 11/1/2022 |1 STEM |o .STAFF. MST-CD1301 | ||