| 000 | 00876nam a22002057a 4500 | ||
|---|---|---|---|
| 999 |
_c24005 _d24005 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a006.4 _bSAJ |
||
| 100 | _aHafiz Sajjad Muhi-ud-din | ||
| 245 | _aDetection of sickle cell anemia using image processing and machine learning techniques | ||
| 260 |
_aLahore _b(unpublished) _c2022 |
||
| 300 |
_axi, 43 p. _b: ill. _c; 29.3 cm. _e+CD |
||
| 500 | _aSubmitted in fulfillment of the requirements for the degree of Master of Science to the Faculty of electrical engineering | ||
| 500 | _aIncludes bibliographical references | ||
| 500 | _aThesis supervisor: Engr Ishfaq Ahmad | ||
| 502 | _aThesis (MS)--Riphah International University, 2022 | ||
| 502 | _aRegistration no:F20C14G32016 | ||
| 546 | _aEnglish | ||
| 650 |
_aEngineering _vLearning techniques _vNeural Network _vSickle Cell _vHemoglobin _vMS-EE _vRICAS |
||
| 942 | _cTH | ||