| 000 | 00893nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c44702 _d44702 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a005.8 _bBIL |
||
| 100 | _aBilal Aslam (31520) | ||
| 245 | _aComparative analysis of multiple conventional neural networks for landslide susceptibility mapping | ||
| 260 |
_aIslamabad _b(unpublished) _c2021 |
||
| 300 |
_axi, 60 p. _b: ill. _c; 30 cm. _e+ CD |
||
| 500 | _aSubmitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security 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 |
_aInformation security _vLandslide inventory mapping _vLandslide conditioning factors _vMulticollinearity analysis _vCNN architectures _vRISE |
||
| 942 | _cTH | ||