| 000 | 00872nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c41496 _d41496 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a539.72 _bANW |
||
| 100 | _aAnwar Zada (434) | ||
| 245 | _aApplying the neural network based models in the top pair production at LHC | ||
| 260 |
_aIslamabad _b(unpublished) _c2021 |
||
| 300 |
_axv, 64 p. _c; 30 cm. _e+CD _b: ill. |
||
| 500 | _aSubmitted in fulfillment of the requirements for the degree of Master of Philosophy in Physics to the Department of Basic Sciences. | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Ijaz Ahmed | ||
| 502 | _aThesis (M.Phil)--Riphah International University, 2021 | ||
| 546 | _aEnglish | ||
| 650 |
_aPhysics _vLarge hadron collider _vTop-Quark physics _vDeepTop tagging _vArtificial intelligence _vNeural networks _vDeep learning _vLHC _vDBS _vFEAS |
||
| 942 | _cTH | ||