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Issue DateTitleAuthor(s)
Aug-2011Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2011/2012College of Engineering 
Sep-2014Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2014/2015College of Engineering 
Sep-2015Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2015/2016College of Engineering 
Sep-2016Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2016/2017College of Engineering 
Sep-2017Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2017/2018College of Engineering 
Sep-2018Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2018/2019College of Engineering 
Sep-2019Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2019/2020College of Engineering 
Apr-2009Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2008/2009College of Engineering 
Jan-2013Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2012/2013College of Engineering 
Jan-2014Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2013/2014College of Engineering 
Feb-2015Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2014/2015College of Engineering 
Feb-2015Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2015/2016College of Engineering 
Jan-2017Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2016/2017College of Engineering 
Jan-2018Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2017/2018College of Engineering 
Jan-2019Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2018/2019College of Engineering 
May-2012Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 3, 2011/2012College of Engineering 
2016Artificial Intelligence Application in Power Generation Industry: Initial considerationsIsmail, R.I.B. ; Ismail Alnaimi, F.B. ; Al-Qrimli, H.F. 
2019Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reformingAyodele, B.V. ; Mustapa, S.I. ; Alsaffar, M.A. ; Cheng, C.K. 
2019Artificial intelligence projection model for methane emission from livestock in SarawakKiat, P.E. ; Malek, M.A. ; Shamsuddin, S.M. 
11-Oct-2002Artificial intelligent - CMPB 454 - Semester 1, 2002/2003College of Engineering