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Available online at www.sciencedirect.com Procedia Computer Science[removed]–1787 Memristor as an archetype of dynamic data-driven systems and applications to sensor networks
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Document Date: 2011-06-06 12:16:59


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Computational Science / goalDirected Neural Systems / Neural Networks / Elsevier Ltd. / Dynamic Data Driven Applications Systems / HP / GE / FedEx / /

Country

United States / /

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Facility

University of Memphis / Pazmany University / FedEx Institute of Technology / /

IndustryTerm

data-driven systems / genuine biologically-inspired systems / large-scale sensor networks / overall network / Knowledge-based systems / transportation / disaster management / sensor networks / memristor device / memristive technology / bank / energy infrastructure / decision making algorithm / exible rubber sleeve / intelligent sensor systems / decision support systems / mechanical devices / human cognitive processing / thick rubber disc / memristive devices / memristive systems / neuromorphic systems / adaptive sensor networks / distributed data processing / simultaneous processing / autonomous sensor network / cognitively-motivated decision support systems / /

Organization

Robert Kozma Center for Large-Scale Integration / Institute of Technology / Department of Mathematical Sciences / University of Memphis / Pazmany University / Budapest / /

Person

Satoshi Matsuoka / Robert Kozma / Nano / Giovanni E. Pazienza / Mitsuhisa Sato / /

Position

Extractor / Ei controller / Controller / /

PublishedMedium

Electronic Engineering Times / /

TVStation

KIII / /

Technology

decision support system / decision making algorithm / /

URL

http /

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