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Issue Date | Title | Author(s) |
Sep-2014 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2014/2015 | College of Engineering |
Sep-2015 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2015/2016 | College of Engineering |
Sep-2016 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2016/2017 | College of Engineering |
Sep-2017 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2017/2018 | College of Engineering |
Sep-2018 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2018/2019 | College of Engineering |
Sep-2019 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 1, 2019/2020 | College of Engineering |
Apr-2009 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2008/2009 | College of Engineering |
Jan-2013 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2012/2013 | College of Engineering |
Jan-2014 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2013/2014 | College of Engineering |
Feb-2015 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2014/2015 | College of Engineering |
Feb-2015 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2015/2016 | College of Engineering |
Jan-2017 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2016/2017 | College of Engineering |
Jan-2018 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2017/2018 | College of Engineering |
Jan-2019 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 2, 2018/2019 | College of Engineering |
May-2012 | Artificial intelligence and neural-fuzzy systems - ECEB 463 - Semester 3, 2011/2012 | College of Engineering |
2016 | Artificial Intelligence Application in Power Generation Industry: Initial considerations | Ismail, R.I.B. ; Ismail Alnaimi, F.B. ; Al-Qrimli, H.F. |
2019 | Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming | Ayodele, B.V. ; Mustapa, S.I. ; Alsaffar, M.A. ; Cheng, C.K. |
2019 | Artificial intelligence projection model for methane emission from livestock in Sarawak | Kiat, P.E. ; Malek, M.A. ; Shamsuddin, S.M. |
11-Oct-2002 | Artificial intelligent - CMPB 454 - Semester 1, 2002/2003 | College of Engineering |
5-Apr-2005 | Artificial intelligent and neural - fuzzy system - ECEB 463 - Semester 2, 2004/2005 | College of Engineering |