-
1دورية أكاديمية
المؤلفون: Ashour, A.S., Nour, M.K.A., Polat, K., Guo, Y., Alsaggaf, W., El-Attar, A.
المصدر: IEEE Access Access, IEEE. 8:76193-76203 2020
-
2دورية أكاديمية
المؤلفون: Amira S. Ashour, Majid Kamal A. Nour, Kemal Polat, Yanhui Guo, Wafaa Alsaggaf, Amira El-Attar
المصدر: IEEE Access, Vol 8, Pp 76193-76203 (2020)
مصطلحات موضوعية: Parkinson’s disease, voice loss, feature extraction, feature selection, principal component analysis, eigenvector centrality feature selection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
-
3
المؤلفون: Kemal Polat, Amira S. Ashour, Amira El-Attar, Yanhui Guo, Wafaa Alsaggaf, Majid Nour
المساهمون: BAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Polat, Kemal
مصطلحات موضوعية: General Computer Science, Computer science, Feature selection, 02 engineering and technology, Measure (mathematics), Feature Extraction, Set (abstract data type), 020204 information systems, Classifier (linguistics), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Feature Selection, Selection (genetic algorithm), Signal processing, Principal Component Analysis, Parkinson's Disease, Voice Loss, business.industry, General Engineering, Pattern recognition, Support vector machine, Eigenvector Centrality Feature Selection, Principal component analysis, 020201 artificial intelligence & image processing, Artificial intelligence, business
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904ac3191bfd62f627a7012e160fedd1
https://hdl.handle.net/20.500.12491/10668