Field-Programmable Gate Array Implementation of Adaptive Neuro-Fuzzy System Using Sensors Monitoring Health-Care Medicinal Internet of Things

dc.contributor.author	Alazzawi, A.K.
dc.contributor.author	Ercan, T.
dc.date.accessioned	2021-01-25T19:32:42Z
dc.date.available	2021-01-25T19:32:42Z
dc.date.issued	2020
dc.identifier	10.1166/jmihi.2020.2693
dc.identifier.issn	2156-7018
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7353
dc.description.abstract	In this study, an artificial intelligent algorithm that can be used for monitoring health-care MIoT (Medicinal Internet of Things) and predicting system based on Adaptive Neuro-Fuzzy Inferences System Architecture (ANFIS) is proposed. We contribute with a
dc.description.sponsorship	Project Evaluation Commission of Yasar University; FPGA-based Control Unit for WSNs
dc.language.iso	English
dc.publisher	AMER SCIENTIFIC PUBLISHERS
dc.title	Field-Programmable Gate Array Implementation of Adaptive Neuro-Fuzzy System Using Sensors Monitoring Health-Care Medicinal Internet of Things
dc.type	Article
dc.relation.firstpage	169
dc.relation.lastpage	177
dc.relation.volume	10
dc.relation.issue	1
dc.description.woscategory	Mathematical & Computational Biology; Radiology, Nuclear Medicine & Medical Imaging
dc.description.wosresearcharea	Mathematical & Computational Biology; Radiology, Nuclear Medicine & Medical Imaging
dc.identifier.wosid	WOS:000496925300029

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