| 000 | 00892nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c40156 _d40156 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a006.31 _bSAM |
||
| 100 | _aSaman Iftikhar Qazi (22775) | ||
| 245 | _aRepairing levels for general games using deep autoencoders | ||
| 260 |
_aIslamabad _b(unpublished) _c2021 |
||
| 300 |
_a56 p. _b: ill., Col. _c; 30 cm. _e+CD |
||
| 500 | _aSubmitted in fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing. | ||
| 500 | _aIncludes bibliographical references | ||
| 500 | _aThesis supervisor: Dr. Adeel Zafar | ||
| 502 | _aThesis (MS)--Riphah International University, 2021 | ||
| 546 | _aEnglish | ||
| 650 |
_aVideo Games _aComputer Science _vVideo game description language _aSoftware Engineering _vGVG-AI framework _vDeep autoencoders _vMachine learning _aData Security _vVGDL _vFC |
||
| 942 | _cTH | ||