Exploiting the features of deep residual network with SVM classifier for human posture recognition [MS Computer Science] / (Record no. 128333)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00912nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221001093709.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190404b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | TP 006.37 |
| Item number | IRF-E |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Irfan Kareem |
| 245 ## - TITLE STATEMENT | |
| Title | Exploiting the features of deep residual network with SVM classifier for human posture recognition [MS Computer Science] / |
| Statement of responsibility, etc | by Irfan Kareem |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Lahore : |
| Name of publisher, distributor, etc | UMT. School of System and Technology. Department of Computer Science, |
| Date of publication, distribution, etc | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 66 p. |
| Accompanying material | CD |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Report presented in partial requirement for MS degree in Computer Science<br/>Advisor : Dr. Syed Farooq Ali |
| Degree for which author was candidate | MS |
| Name of granting institution (Department Name) | Department of Computer Science |
| Year degree granted | 2021 |
| Student ID | F2018279005 |
| 526 ## - STUDY PROGRAME | |
| School | School of System and Technology |
| 546 ## - LANGUAGE NOTE | |
| Language Note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Vision. Artificial intelligence |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Theses and Term Papers |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | UMT Main Campus | UMT Main Campus | 2022-10-01 | TP 006.37 IRF-E | 143860 | 2022-10-01 | 2022-10-01 | Theses and Term Papers |
