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1دورية 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
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المصدر: Pattern Recognition Letters. 131:23-29
مصطلحات موضوعية: Parkinson's disease, Computer science, 02 engineering and technology, 01 natural sciences, Long short term memory, Acceleration, Gait (human), Artificial Intelligence, Dependent model, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, medicine, 010306 general physics, business.industry, Deep learning, Work (physics), Pattern recognition, medicine.disease, Gait, Support vector machine, Signal Processing, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Software
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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 -
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المؤلفون: Amira S. Ashour, Mostafa M. Abd El-Naby, Amira El-Attar, R. Simon Sherratt, Hatem Abdelkader, Nilanjan Dey
المصدر: Journal of Experimental & Theoretical Artificial Intelligence. 33:543-559
مصطلحات موضوعية: Discrete wavelet transform, Ubiquitous computing, Parkinson's disease, business.industry, Computer science, Data_MISCELLANEOUS, 010401 analytical chemistry, Wearable computer, 02 engineering and technology, medicine.disease, 01 natural sciences, 0104 chemical sciences, Theoretical Computer Science, Gait (human), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Body sensors, business, Software
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المصدر: 2018 9th Cairo International Biomedical Engineering Conference (CIBEC).
مصطلحات موضوعية: 030506 rehabilitation, Computer science, business.industry, 010401 analytical chemistry, Pattern recognition, Feature selection, Accelerometer, 01 natural sciences, Signal, 0104 chemical sciences, Support vector machine, 03 medical and health sciences, Acceleration, Gait (human), Ranking, Position (vector), Artificial intelligence, 0305 other medical science, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e7e06a1449f941a59c1fda6668cc72ef
https://doi.org/10.1109/cibec.2018.8641809