000			01801cam a2200337Ii 4500
005			20250421080306.0
008			181007t20182018ts a bm 000 0 eng d
037			_bGift
040			_aAE-Shu _cUKB
041	0		_aeng _bara
050		4	_aTA345 _b.A454 2018
100	1		_aAllely, Eslam Emad
245	1	0	_aComparing performance of artificial neural networks and random forest models for predicting incident duration / _cby Eslam Emad Allely ; supervisor Khaled Hamad ; co-supervisor Muamer Abuzwidah.
246	1	3	_aمقارنة أداء نماذج الشبكة العصبية الذكية والغابات العشوائية للتنبؤ بمدة الحادث.
260			_a[s.l.] : _bEslam Emad Allely, _c2018.
300			_axvii, 114 leaves : _bill. ; _c30 cm.+ _e1 CD-Rom (4 3/4 in.)
500			_aSubmitted in partial fulfilment for the degree of Master of Science in Civil Engineering, under supervision of Dr. Khaled Hamad ; co-supervisor Dr. Muamer Abuzwidah.
502			_aThesis (M.Sc.) -- University of Sharjah, 2018.
504			_aIncludes bibliographical references (leaves 79-82).
546			_aAbstracts in Arabic and English.
610	2	4	_aUniversity of Sharjah _xDissertations.
650		0	_aCivil engineering _xData processing
650		0	_aComputer-aided engineering
650		0	_aNeural networks (Computer science)
700	1		_aHamad, Khaled, _esupervisor
700	1		_aAbuzwidah, Muamer, _eco-supervisor
710	2		_aUniversity of Sharjah. _bCollege of Engineering. _bDepartment of Civil and Environmental Engineering. _gM.Sc.
850	4		_uhttps://myuos.sharjah.ac.ae/en/library/Online%20Books/Thesis/b12773852.pdf _zFull Text
856			_uhttps://uos-theses.sharjah.ac.ae/Files_Pool/Theses/Flip/1277385/mobile/index.html _zFull Text
942			_cDIS
999			_c15938 _d15938