| 000 | 00976nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c54617 _d54617 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a621.31 _bSAA |
||
| 100 | _aMuhammad Saad Ali (2969) | ||
| 245 | _aPerformance analysis of KNN-based brain disorder detection with different feature selection techniques and distance functions | ||
| 260 |
_aIslamabad _b(unpublished) _c2023 |
||
| 300 |
_axiv, 56 p. _b: ill. _c; 30 cm. _e+CD |
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| 500 | _aA thesis submitted in the 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. Shaheryar Najam | ||
| 502 | _aThesis (MSEE)--Riphah International University, 2023 | ||
| 546 | _aEnglish | ||
| 650 |
_aElectrical Engineering _vFeature selection technique _vK-Nearest neighbors _vBrain disorder _vMachine learning _vDistance functions _vFEAS |
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| 942 | _cTH | ||