Classification of autism spectrum disorder gait using machine learning classifiers based on temporal-spatial gait parameters / Che Zawiyah Che Hasan, Rozita Jailani and Nooritawati Md Tahir
Autism spectrum disorder (ASD) is a complex and permanent developmental disorder that can be identified in the early years of childhood. ASD is recently considered as the most prevalent forms of developmental disabilities worldwide. Contemporary studies have revealed the existence of movement distur...
محفوظ في:
المؤلفون الرئيسيون: | Che Hasan, Che Zawiyah, Jailani, Rozita, Md Tahir, Nooritawati |
---|---|
مؤلفون آخرون: | Ismail, Shafinar |
التنسيق: | Book Section |
اللغة: | English |
منشور في: |
Division of Research and Industry Linkages
2017
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/49038/1/49038.pdf https://ir.uitm.edu.my/id/eprint/49038/ |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Identification of autism spectrum disorder gait patterns based on three-dimensional gait analysis / Che Zawiyah Che Hasan
بواسطة: Che Hasan, Che Zawiyah
منشور في: (2019) -
Classification of walking gait features using markerless-based approach in ASD children / Nur Khalidah Zakaria, Nooritawati Md Tahir and R. Jailani
بواسطة: Zakaria, Nur Khalidah, وآخرون
منشور في: (2019) -
Intelligent selection system for teachers’ replacement using feed forward neuralnetwork / Che Nor Syairah Che Rozaid
بواسطة: Che Rozaid, Che Nor Syairah
منشور في: (2011) -
Development of paraplegic quadriceps muscle models using artificial intelligent techniques / Syafinas Mohd Salleh
بواسطة: Mohd Salleh, Syafinas
منشور في: (2015) -
Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor
بواسطة: Mansor, Mohd Helmi
منشور في: (2020)