| 000 | 00861nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c54698 _d54698 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a610.28 _bINZ |
||
| 100 | _aInzimam Saeed (39748) | ||
| 245 | _aEEG-based epileptic seizure detection using machine learning /deep learning | ||
| 260 |
_aIslamabad _b(Unpublished) _c2023 |
||
| 300 |
_axiii, 61 p. _b: ill. _c; 30 cm. _e+CD |
||
| 500 | _aSubmitted in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering. | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Dr. Faraz Akram | ||
| 502 | _aThesis (M.S.)--Riphah International University, 2023 | ||
| 546 | _aEnglish | ||
| 650 |
_aBiomedical Engineering _vEEG signals of brain _vMachine learning approach _vDeep learning approach _vEpilepsy seizures _vEpileptic _vFEAS |
||
| 942 | _cTH | ||