International journal of online and biomedical engineering (ijoe) – eissn: 2626-8493 – vol 18 no 11 (2022)

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  • who: Signal and collaborators from the Universiti Teknikal Malaysia have published the Article: International Journal of Online and Biomedical Engineering (iJOE) - eISSN: 2626-8493 - Vol 18 No 11 (2022), in the Journal: (JOURNAL)
  • what: The authors propose a novel autism diagnosis method that is based on a hybrid of the deep learning algorithms. The aim of this study is to use the deep learning algorithm to classify ASD based on the rapid, inexpensive, and non-invasive measurable way. Over 97.7 percent accuracy was achieved for 70:30 stratified cross validation of data distribution, which . . .

     

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