المؤلفون: Siti Nurmaini, Radiyati Umi Partan, Wahyu Caesarendra, Tresna Dewi, Muhammad Naufal Rahmatullah, Annisa Darmawahyuni, Vicko Bhayyu, Firdaus Firdaus

المصدر: Applied Sciences, Vol 9, Iss 14, p 2921 (2019)

مصطلحات موضوعية: cardiac disease, classification, deep learning, unsupervised feature learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/9/14/2921; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/61af7a064f1f424288cfb4c7fb48db01

المؤلفون: Annisa Darmawahyuni, Siti Nurmaini, Sukemi, Wahyu Caesarendra, Vicko Bhayyu, M Naufal Rachmatullah, Firdaus

المصدر: Algorithms, Vol 12, Iss 6, p 118 (2019)

مصطلحات موضوعية: deep learning, gated recurrent unit, long short-term memory, myocardial infarction, recurrent neural network, sequence modeling, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1999-4893/12/6/118; https://doaj.org/toc/1999-4893

URL الوصول: https://doaj.org/article/d7b1daa90d8545d596735a7011512550

المؤلفون: Wahyu Caesarendra, Muhammad Naufal Rahmatullah, Vicko Bhayyu, Radiyati Umi Partan, Siti Nurmaini, Firdaus Firdaus, Tresna Dewi, Annisa Darmawahyuni

المصدر: Applied Sciences
Volume 9
Issue 14
Applied Sciences, Vol 9, Iss 14, p 2921 (2019)

مصطلحات موضوعية: cardiac disease, Computer science, Feature extraction, Feature selection, 02 engineering and technology, lcsh:Technology, lcsh:Chemistry, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Instrumentation, lcsh:QH301-705.5, 030304 developmental biology, Fluid Flow and Transfer Processes, 0303 health sciences, Artificial neural network, Receiver operating characteristic, business.industry, lcsh:T, Process Chemistry and Technology, Deep learning, General Engineering, Confusion matrix, deep learning, Pattern recognition, lcsh:QC1-999, unsupervised feature learning, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, classification, lcsh:TA1-2040, 020201 artificial intelligence & image processing, Artificial intelligence, business, lcsh:Engineering (General). Civil engineering (General), Classifier (UML), Feature learning, lcsh:Physics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da5e125e240fc48ea0e78d373af8fdd2