000 | 01350nam a2200229Ia 4500 | ||
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008 | 240830s9999||||xx |||||||||||||| ||und|| | ||
040 |
_aJZL-CUI _cCOMSATS University Islamabad |
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041 | _aeng | ||
082 |
_a004 _bHAS-A |
||
084 | _a004 HAS-A | ||
100 |
_aHassan, Hijab. _eFA19-RSE-018/ISB _uCOMSATS University Islamabad. |
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245 | 0 |
_aAssessing the COVID-19 trends in Pakistan using predictive machine learning techniques _ban empirical study / _cHijab Hassan. _h[Thesis or Dissertation] |
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260 |
_aIslamabad : _bCOMSATS University Islamabad, _c2022. |
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300 |
_axv, 101 pages : _bcolor illustrations ; _c30 cm + _e1 DVD-ROM (4 3/4 in.) |
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502 |
_aThesis _bA Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering. External Examiner: Adnan Sohail, Dr. AP, Computing and Technology, Iqra University, Islamabad. _cCOMSATS University Islamabad |
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526 | _aMS in Software Engineering. | ||
600 |
_aAdnan Sohail, Dr. _gExternal Examiner, AP, Computing and Technology, Iqra University, Islamabad. |
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600 |
_aMuhammad Asim Noor, Dr. _gSupervisor, Computer Science. |
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650 | _aCOVID-19--Machine learning techniques. | ||
650 | _aLogistic growth model--Support vector machine. | ||
655 |
_aComputer Science _bSoftware Engineering |
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999 |
_c489468 _d489468 |