@artikel{Yusoff2011433,
tajuk = {Le-ADS: Early learning disability detection system for autism and dyslexia},
pengarang = {N M Yusoff and N S Rusli and R Ishak},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960415721&doi=10.1007%2f978-3-642-22095-1_87&rakan kongsi = 40&md5=81c7ed311b28be5a6b9017df102e4d58},
doi = {10.1007/978-3-642-22095-1_87},
terbitan = {18650929},
tahun = {2011},
tarikh = {2011-01-01},
jurnal = {Komunikasi dalam Sains Komputer dan Maklumat},
isi padu = {174 CCIS},
nombor = {PART 2},
halaman = {433-437},
abstrak = {Screening test is one of common approaches to detect learning disabilities among children. The Early Learning Disability Detection System for Autism and Dyslexia (Le-AdS) is developed to help primary school teachers to recognize signs and students' behaviour. Studies and researches for the system have been done to understand these types of disorder. Research on the system architecture has also been carried out to know how the system should work based on the requirements and needs of the user. Interviews, reading and overview have been applied throughout the development process of this standalone software. This paper presents the work of Early Learning Disability Detection for Autism and Dyslexia (Le-ADS). © 2011 Springer-Verlag.},
nota = {dipetik oleh 1},
kata kunci = {Detection System, Development Process, Penyakit, Disleksia, Early Learning, Engineering Research, Orang Kurang Upaya, Interaksi Komputer Manusia, Know-how, Knowledge Management, Gangguan Pembelajaran, Autisme Ringan, Primary Schools, Screening System, Screening Tests, Standalone Software, Seni Bina Sistem},
pubstate = {diterbitkan},
tppubtype = {artikel}
}

@artikel{MohdYusoff2009395,
tajuk = {ESSE: Learning disability classification system for autism and dyslexia},
pengarang = {N Mohd Yusoff and M H Abdul Wahab and M A Aziz and F Jalil AshaÁri},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249116153&doi=10.1007%2f978-3-642-02707-9_45&rakan kongsi = 40&md5=f51c6dd35a86b7eef7ee117d1daa41dd},
doi = {10.1007/978-3-642-02707-9_45},
terbitan = {03029743},
tahun = {2009},
tarikh = {2009-01-01},
jurnal = {Nota Kuliah dalam Sains Komputer (termasuk subseries Nota Kuliah dalam Artificial Intelligence dan Lecture Notes dalam Bioinformatics)},
isi padu = {5614 LNCS},
nombor = {PART 1},
halaman = {395-402},
abstrak = {This paper presents an Expert System for Special Education (ESSE) based on scenario in Malaysia. This system is developed through the process of knowledge-gaining which is gathered from various expertise in chosen domain. Realizing the limitation of traditional classification system that teachers adopted, we developed ESSE to automate a centralized decision making system. ESSE is also able to provide consistent answers for repetitive decisions, processes and tasks. Selain itu, teachers using this system hold and maintain significant level of information pertaining both learning disabilities, thus reduce amount of human errors. ESSE knowledge-based resulted from the knowledge engineering called Qualifiers and Choice. Both are gathered from the analysis of symptoms that are experienced by Autism and Dyslexia patients. Every type of disability is divided to several categories and sub-category to facilitate question's arrangement. This paper presents a review of Expert System for Special Education (ESSE), problems arises and the knowledge-based classification systems. © 2009 Springer Berlin Heidelberg.},
nota = {dipetik oleh 2},
kata kunci = {Autisme, Centralized Decision Making, Classification System, Membuat keputusan, Kesilapan, Sistem Pakar, Interaksi Komputer Manusia, Human Errors, Knowledge Engineering, Knowledge Management, Knowledge-Based Classification, Gangguan Pembelajaran, Malaysia, Pendidikan Khas, Mengajar},
pubstate = {diterbitkan},
tppubtype = {artikel}
}