| 000 | 00887nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c57129 _d57129 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a621.31 _bFAI |
||
| 100 | _aFaisal Nadeem (30601) | ||
| 245 | _aAdvance CNN model for automated brain tumor detection in MRI images | ||
| 260 |
_aIslamabad _b(Unpublished) _c2024 |
||
| 300 |
_a59 p. _b: ill. _c; 30 cm. _e+CD |
||
| 500 | _aSubmitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences. | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Faisal Nadeem | ||
| 502 | _aThesis (M.S.)--Riphah International University, 2024 | ||
| 546 | _aEnglish | ||
| 650 |
_aElectrical engineering _vData augmentation _vArtificial intelligence _vDeep learning _vEvolution metric _vFlipping _vFEAS |
||
| 942 | _cTH | ||